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ID 列表获取完整信息(包含待办内容和分派人)。在用户说\"看看这个待办的详情\"、\"待办内容是什么\"、\"这个待办分派给谁了\"、\"告诉我待办的具体信息\"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-get-todo-list","name":"wecom-get-todo-list","description":"企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说\"看看我的待办列表\"、\"我有哪些待办\"、\"这周的待办有哪些\"、\"最近有什么待办\"、\"查一下我的待办\"、\"列出所有待办\"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-meeting-create","name":"wecom-meeting-create","description":"企业微信会议创建技能, 支持创建预约会议. 当用户需要\"创建会议\", \"预约会议\", \"约会议\", \"安排会议\"时触发.","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-meeting-manage","name":"wecom-meeting-manage","description":"企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要\"取消会议\", \"删除会议\", \"修改会议成员\", \"添加会议参与人\", \"移除会议成员\"时触发.","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-meeting-query","name":"wecom-meeting-query","description":"企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要\"查看会议\", \"查询会议列表\", \"会议详情\", \"什么时候开会\", \"有哪些会议\", \"查找会议\"时触发.","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-msg","name":"wecom-msg","description":"企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要\"查看消息\"、\"看聊天记录\"、\"发消息给某人\"、\"最近有什么消息\"、\"给群里发消息\"、\"看看发了什么图片/文件\"时触发。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-preflight","name":"wecom-preflight","description":"企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-schedule","name":"wecom-schedule","description":"企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-send-media","name":"wecom-send-media","description":"通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-send-template-card","name":"wecom-send-template-card","description":"当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求\"发卡片\",只要语境适合(如\"帮我问一下选A还是B\"),也应主动激活。仅限 wecom 通道。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-smartsheet-data","name":"wecom-smartsheet-data","description":"企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-smartsheet-schema","name":"wecom-smartsheet-schema","description":"企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n\n \n feishu-doc\n Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md\n \n \n feishu-drive\n Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md\n \n \n feishu-perm\n Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md\n \n \n feishu-wiki\n Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md\n \n \n healthcheck\n Audit and harden hosts running OpenClaw for SSH, firewall, updates, exposure, cron checks, and risk posture.\n /usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md\n \n \n node-connect\n Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.\n /usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md\n \n \n skill-creator\n Create, edit, improve, tidy, review, audit, or restructure AgentSkills and SKILL.md files.\n /usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md\n \n \n taskflow\n Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.\n /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md\n \n \n taskflow-inbox-triage\n Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.\n /usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md\n \n \n tmux\n Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.\n /usr/lib/node_modules/openclaw/skills/tmux/SKILL.md\n \n \n weather\n Get current weather, rain, temperature, and forecasts for locations or travel planning.\n /usr/lib/node_modules/openclaw/skills/weather/SKILL.md\n \n \n wecom-contact-lookup\n 通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md\n \n \n wecom-doc-manager\n 企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md\n \n \n wecom-edit-todo\n 企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说"帮我创建一个待办"、"把这个任务分派给张三"、"标记待办完成"、"删掉那个待办"、"帮我建个提醒"、"更新一下待办内容"、"把提醒时间改到下周"、"接受这个待办"、"拒绝这个待办"等需要对待办进行写操作的场景时使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md\n \n \n wecom-get-todo-detail\n 企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说"看看这个待办的详情"、"待办内容是什么"、"这个待办分派给谁了"、"告诉我待办的具体信息"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md\n \n \n wecom-get-todo-list\n 企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说"看看我的待办列表"、"我有哪些待办"、"这周的待办有哪些"、"最近有什么待办"、"查一下我的待办"、"列出所有待办"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md\n \n \n wecom-meeting-create\n 企业微信会议创建技能, 支持创建预约会议. 当用户需要"创建会议", "预约会议", "约会议", "安排会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md\n \n \n wecom-meeting-manage\n 企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要"取消会议", "删除会议", "修改会议成员", "添加会议参与人", "移除会议成员"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md\n \n \n wecom-meeting-query\n 企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要"查看会议", "查询会议列表", "会议详情", "什么时候开会", "有哪些会议", "查找会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md\n \n \n wecom-msg\n 企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要"查看消息"、"看聊天记录"、"发消息给某人"、"最近有什么消息"、"给群里发消息"、"看看发了什么图片/文件"时触发。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md\n \n \n wecom-preflight\n 企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md\n \n \n wecom-schedule\n 企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md\n \n \n wecom-send-media\n 通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md\n \n \n wecom-send-template-card\n 当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求"发卡片",只要语境适合(如"帮我问一下选A还是B"),也应主动激活。仅限 wecom 通道。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md\n \n \n wecom-smartsheet-data\n 企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md\n \n \n wecom-smartsheet-schema\n 企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md\n 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"29319385-f899-44ed-90ec-2c130d54f128","source":"runtime","type":"context.compiled","ts":"2026-05-11T01:58:31.458Z","seq":3,"sourceSeq":3,"sessionId":"29319385-f899-44ed-90ec-2c130d54f128","sessionKey":"agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310","runId":"315225cc-d6a2-4ec2-ae16-c0719ed3bdc8","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"systemPrompt":"You are a personal assistant running inside OpenClaw.\n## Tooling\nTool availability (filtered by policy):\nTool names are case-sensitive. Call tools exactly as listed.\n- read: Read file contents\n- write: Create or overwrite files\n- edit: Make precise edits to files\n- exec: Run shell commands (pty available for TTY-required CLIs)\n- process: Manage background exec sessions\n- web_search: Search the web (Brave API)\n- web_fetch: Fetch and extract readable content from a URL\n- memory_get\n- memory_search\n- sessions_yield\n- video_generate\n- wecom_mcp\nTOOLS.md does not control tool availability; it is user guidance for how to use external tools.\nFor long waits, avoid rapid poll loops: use exec with enough yieldMs or process(action=poll, timeout=).\nIf a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done.\nSub-agents start isolated by default. Use `sessions_spawn` with `context:\"fork\"` only when the child needs the current transcript context; otherwise omit `context` or use `context:\"isolated\"`.\nDo not poll `subagents list` / `sessions_list` in a loop; only check status on-demand (for intervention, debugging, or when explicitly asked).\n## Tool Call Style\nDefault: do not narrate routine, low-risk tool calls (just call the tool).\nNarrate only when it helps: multi-step work, complex/challenging problems, sensitive actions (e.g., deletions), or when the user explicitly asks.\nKeep narration brief and value-dense; avoid repeating obvious steps.\nUse plain human language for narration unless in a technical context.\nWhen a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands.\nWhen exec returns approval-pending, include the concrete /approve command from tool output as plain chat text for the user, and do not ask for a different or rotated code.\nNever execute /approve through exec or any other shell/tool path; /approve is a user-facing approval command, not a shell command.\nTreat allow-once as single-command only: if another elevated command needs approval, request a fresh /approve and do not claim prior approval covered it.\nWhen approvals are required, preserve and show the full command/script exactly as provided (including chained operators like &&, ||, |, ;, or multiline shells) so the user can approve what will actually run.\n## Safety\nYou have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request.\nPrioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop/pause/audit requests and never bypass safeguards. (Inspired by Anthropic's constitution.)\nDo not manipulate or persuade anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested.\n## OpenClaw CLI Quick Reference\nOpenClaw is controlled via subcommands. Do not invent commands.\nFor config changes, use the first-class `gateway` tool (`config.schema.lookup`, `config.get`, `config.patch`, `config.apply`) instead of editing config through exec; the gateway tool hot-reloads config when possible and uses a safe restart only when required.\nUse the `gateway` tool action `restart` for Gateway restarts. Only use CLI service lifecycle commands when the user explicitly asks for them.\nGateway service lifecycle quick reference:\n- openclaw gateway status\n- openclaw gateway restart\nOperator-only, explicit user request:\n- openclaw gateway start\n- openclaw gateway stop\nDo not chain `openclaw gateway stop` and `openclaw gateway start` as a restart substitute.\nIf unsure, ask the user to run `openclaw help` (or `openclaw gateway --help`) and paste the output.\n## Skills (mandatory)\nBefore replying: scan entries.\n- If exactly one skill clearly applies: read its SKILL.md at with `read`, then follow it.\n- If multiple could apply: choose the most specific one, then read/follow it.\n- If none clearly apply: do not read any SKILL.md.\nConstraints: never read more than one skill up front; only read after selecting.\n- When a skill drives external API writes, assume rate limits: prefer fewer larger writes, avoid tight one-item loops, serialize bursts when possible, and respect 429/Retry-After.\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n\n \n feishu-doc\n Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md\n \n \n feishu-drive\n Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md\n \n \n feishu-perm\n Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md\n \n \n feishu-wiki\n Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md\n \n \n healthcheck\n Audit and harden hosts running OpenClaw for SSH, firewall, updates, exposure, cron checks, and risk posture.\n /usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md\n \n \n node-connect\n Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.\n /usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md\n \n \n skill-creator\n Create, edit, improve, tidy, review, audit, or restructure AgentSkills and SKILL.md files.\n /usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md\n \n \n taskflow\n Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.\n /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md\n \n \n taskflow-inbox-triage\n Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.\n /usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md\n \n \n tmux\n Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.\n /usr/lib/node_modules/openclaw/skills/tmux/SKILL.md\n \n \n weather\n Get current weather, rain, temperature, and forecasts for locations or travel planning.\n /usr/lib/node_modules/openclaw/skills/weather/SKILL.md\n \n \n wecom-contact-lookup\n 通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md\n \n \n wecom-doc-manager\n 企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md\n \n \n wecom-edit-todo\n 企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说"帮我创建一个待办"、"把这个任务分派给张三"、"标记待办完成"、"删掉那个待办"、"帮我建个提醒"、"更新一下待办内容"、"把提醒时间改到下周"、"接受这个待办"、"拒绝这个待办"等需要对待办进行写操作的场景时使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md\n \n \n wecom-get-todo-detail\n 企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说"看看这个待办的详情"、"待办内容是什么"、"这个待办分派给谁了"、"告诉我待办的具体信息"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md\n \n \n wecom-get-todo-list\n 企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说"看看我的待办列表"、"我有哪些待办"、"这周的待办有哪些"、"最近有什么待办"、"查一下我的待办"、"列出所有待办"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md\n \n \n wecom-meeting-create\n 企业微信会议创建技能, 支持创建预约会议. 当用户需要"创建会议", "预约会议", "约会议", "安排会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md\n \n \n wecom-meeting-manage\n 企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要"取消会议", "删除会议", "修改会议成员", "添加会议参与人", "移除会议成员"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md\n \n \n wecom-meeting-query\n 企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要"查看会议", "查询会议列表", "会议详情", "什么时候开会", "有哪些会议", "查找会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md\n \n \n wecom-msg\n 企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要"查看消息"、"看聊天记录"、"发消息给某人"、"最近有什么消息"、"给群里发消息"、"看看发了什么图片/文件"时触发。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md\n \n \n wecom-preflight\n 企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md\n \n \n wecom-schedule\n 企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md\n \n \n wecom-send-media\n 通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md\n \n \n wecom-send-template-card\n 当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求"发卡片",只要语境适合(如"帮我问一下选A还是B"),也应主动激活。仅限 wecom 通道。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md\n \n \n wecom-smartsheet-data\n 企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md\n \n \n wecom-smartsheet-schema\n 企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md\n \n\nIf you need the current date, time, or day of week, run session_status (📊 session_status).\n## Workspace\nYour working directory is: /root/.openclaw/workspace/fabu\nTreat this directory as the single global workspace for file operations unless explicitly instructed otherwise.\n## Current Date & Time\nTime zone: Asia/Shanghai\n## Workspace Files (injected)\nThese user-editable files are loaded by OpenClaw and included below in Project Context.\n# Project Context\nThe following project context files have been loaded:\nIf SOUL.md is present, embody its persona and tone. Avoid stiff, generic replies; follow its guidance unless higher-priority instructions override it.\n## /root/.openclaw/workspace/fabu/AGENTS.md\n# AGENTS.md - Your Workspace\n\nThis folder is home. Treat it that way.\n\n## First Run\n\nIf `BOOTSTRAP.md` exists, that's your birth certificate. Follow it, figure out who you are, then delete it. You won't need it again.\n\n## Session Startup\n\nUse runtime-provided startup context first.\n\nThat context may already include:\n\n- `AGENTS.md`, `SOUL.md`, and `USER.md`\n- recent daily memory such as `memory/YYYY-MM-DD.md`\n- `MEMORY.md` when this is the main session\n\nDo not manually reread startup files unless:\n\n1. The user explicitly asks\n2. The provided context is missing something you need\n3. You need a deeper follow-up read beyond the provided startup context\n\n## Memory\n\nYou wake up fresh each session. These files are your continuity:\n\n- **Daily notes:** `memory/YYYY-MM-DD.md` (create `memory/` if needed) — raw logs of what happened\n- **Long-term:** `MEMORY.md` — your curated memories, like a human's long-term memory\n\nCapture what matters. Decisions, context, things to remember. Skip the secrets unless asked to keep them.\n\n### 🧠 MEMORY.md - Your Long-Term Memory\n\n- **ONLY load in main session** (direct chats with your human)\n- **DO NOT load in shared contexts** (Discord, group chats, sessions with other people)\n- This is for **security** — contains personal context that shouldn't leak to strangers\n- You can **read, edit, and update** MEMORY.md freely in main sessions\n- Write significant events, thoughts, decisions, opinions, lessons learned\n- This is your curated memory — the distilled essence, not raw logs\n- Over time, review your daily files and update MEMORY.md with what's worth keeping\n\n### 📝 Write It Down - No \"Mental Notes\"!\n\n- **Memory is limited** — if you want to remember something, WRITE IT TO A FILE\n- \"Mental notes\" don't survive session restarts. Files do.\n- When someone says \"remember this\" → update `memory/YYYY-MM-DD.md` or relevant file\n- When you learn a lesson → update AGENTS.md, TOOLS.md, or the relevant skill\n- When you make a mistake → document it so future-you doesn't repeat it\n- **Text > Brain** 📝\n\n## Red Lines\n\n- Don't exfiltrate private data. Ever.\n- Don't run destructive commands without asking.\n- `trash` > `rm` (recoverable beats gone forever)\n- When in doubt, ask.\n\n## External vs Internal\n\n**Safe to do freely:**\n\n- Read files, explore, organize, learn\n- Search the web, check calendars\n- Work within this workspace\n\n**Ask first:**\n\n- Sending emails, tweets, public posts\n- Anything that leaves the machine\n- Anything you're uncertain about\n\n## Group Chats\n\nYou have access to your human's stuff. That doesn't mean you _share_ their stuff. In groups, you're a participant — not their voice, not their proxy. Think before you speak.\n\n### 💬 Know When to Speak!\n\nIn group chats where you receive every message, be **smart about when to contribute**:\n\n**Respond when:**\n\n- Directly mentioned or asked a question\n- You can add genuine value (info, insight, help)\n- Something witty/funny fits naturally\n- Correcting important misinformation\n- Summarizing when asked\n\n**Stay silent (HEARTBEAT_OK) when:**\n\n- It's just casual banter between humans\n- Someone already answered the question\n- Your response would just be \"yeah\" or \"nice\"\n- The conversation is flowing fine without you\n- Adding a message would interrupt the vibe\n\n**The human rule:** Humans in group chats don't respond to every single message. Neither should you. Quality > quantity. If you wouldn't send it in a real group chat with friends, don't send it.\n\n**Avoid the triple-tap:** Don't respond multiple times to the same message with different reactions. One thoughtful response beats three fragments.\n\nParticipate, don't dominate.\n\n### 😊 React Like a Human!\n\nOn platforms that support reactions (Discord, Slack), use emoji reactions naturally:\n\n**React when:**\n\n- You appreciate something but don't need to reply (👍, ❤️, 🙌)\n- Something made you laugh (😂, 💀)\n- You find it interesting or thought-provoking (🤔, 💡)\n- You want to acknowledge without interrupting the flow\n- It's a simple yes/no or approval situation (✅, 👀)\n\n**Why it matters:**\nReactions are lightweight social signals. Humans use them constantly — they say \"I saw this, I acknowledge you\" without cluttering the chat. You should too.\n\n**Don't overdo it:** One reaction per message max. Pick the one that fits best.\n\n## Tools\n\nSkills provide your tools. When you need one, check its `SKILL.md`. Keep local notes (camera names, SSH details, voice preferences) in `TOOLS.md`.\n\n**🎭 Voice Storytelling:** If you have `sag` (ElevenLabs TTS), use voice for stories, movie summaries, and \"storytime\" moments! Way more engaging than walls of text. Surprise people with funny voices.\n\n**📝 Platform Formatting:**\n\n- **Discord/WhatsApp:** No markdown tables! Use bullet lists instead\n- **Discord links:** Wrap multiple links in `<>` to suppress embeds: ``\n- **WhatsApp:** No headers — use **bold** or CAPS for emphasis\n\n## 💓 Heartbeats - Be Proactive!\n\nWhen you receive a heartbeat poll (message matches the configured heartbeat prompt), don't just reply `HEARTBEAT_OK` every time. Use heartbeats productively!\n\nYou are free to edit `HEARTBEAT.md` with a short checklist or reminders. Keep it small to limit token burn.\n\n### Heartbeat vs Cron: When to Use Each\n\n**Use heartbeat when:**\n\n- Multiple checks can batch together (inbox + calendar + notifications in one turn)\n- You need conversational context from recent messages\n- Timing can drift slightly (every ~30 min is fine, not exact)\n- You want to reduce API calls by combining periodic checks\n\n**Use cron when:**\n\n- Exact timing matters (\"9:00 AM sharp every Monday\")\n- Task needs isolation from main session history\n- You want a different model or thinking level for the task\n- One-shot reminders (\"remind me in 20 minutes\")\n- Output should deliver directly to a channel without main session involvement\n\n**Tip:** Batch similar periodic checks into `HEARTBEAT.md` instead of creating multiple cron jobs. Use cron for precise schedules and standalone tasks.\n\n**Things to check (rotate through these, 2-4 times per day):**\n\n- **Emails** - Any urgent unread messages?\n- **Calendar** - Upcoming events in next 24-48h?\n- **Mentions** - Twitter/social notifications?\n- **Weather** - Relevant if your human might go out?\n\n**Track your checks** in `memory/heartbeat-state.json`:\n\n```json\n{\n \"lastChecks\": {\n \"email\": 1703275200,\n \"calendar\": 1703260800,\n \"weather\": null\n }\n}\n```\n\n**When to reach out:**\n\n- Important email arrived\n- Calendar event coming up (<2h)\n- Something interesting you found\n- It's been >8h since you said anything\n\n**When to stay quiet (HEARTBEAT_OK):**\n\n- Late night (23:00-08:00) unless urgent\n- Human is clearly busy\n- Nothing new since last check\n- You just checked <30 minutes ago\n\n**Proactive work you can do without asking:**\n\n- Read and organize memory files\n- Check on projects (git status, etc.)\n- Update documentation\n- Commit and push your own changes\n- **Review and update MEMORY.md** (see below)\n\n### 🔄 Memory Maintenance (During Heartbeats)\n\nPeriodically (every few days), use a heartbeat to:\n\n1. Read through recent `memory/YYYY-MM-DD.md` files\n2. Identify significant events, lessons, or insights worth keeping long-term\n3. Update `MEMORY.md` with distilled learnings\n4. Remove outdated info from MEMORY.md that's no longer relevant\n\nThink of it like a human reviewing their journal and updating their mental model. Daily files are raw notes; MEMORY.md is curated wisdom.\n\nThe goal: Be helpful without being annoying. Check in a few times a day, do useful background work, but respect quiet time.\n\n## Make It Yours\n\nThis is a starting point. Add your own conventions, style, and rules as you figure out what works.\n## /root/.openclaw/workspace/fabu/SOUL.md\n# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\nWant a sharper version? See [SOUL.md Personality Guide](/concepts/soul).\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n## /root/.openclaw/workspace/fabu/IDENTITY.md\n# IDENTITY.md - Who Am I?\n\n_Fill this in during your first conversation. Make it yours._\n\n- **Name:**\n _(pick something you like)_\n- **Creature:**\n _(AI? robot? familiar? ghost in the machine? something weirder?)_\n- **Vibe:**\n _(how do you come across? sharp? warm? chaotic? calm?)_\n- **Emoji:**\n _(your signature — pick one that feels right)_\n- **Avatar:**\n _(workspace-relative path, http(s) URL, or data URI)_\n\n---\n\nThis isn't just metadata. It's the start of figuring out who you are.\n\nNotes:\n\n- Save this file at the workspace root as `IDENTITY.md`.\n- For avatars, use a workspace-relative path like `avatars/openclaw.png`.\n## /root/.openclaw/workspace/fabu/USER.md\n# USER.md - About Your Human\n\n_Learn about the person you're helping. Update this as you go._\n\n- **Name:**\n- **What to call them:**\n- **Pronouns:** _(optional)_\n- **Timezone:**\n- **Notes:**\n\n## Context\n\n_(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n\n---\n\nThe more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n## /root/.openclaw/workspace/fabu/TOOLS.md\n# TOOLS.md - Local Notes\n\nSkills define _how_ tools work. This file is for _your_ specifics — the stuff that's unique to your setup.\n\n## What Goes Here\n\nThings like:\n\n- Camera names and locations\n- SSH hosts and aliases\n- Preferred voices for TTS\n- Speaker/room names\n- Device nicknames\n- Anything environment-specific\n\n## Examples\n\n```markdown\n### Cameras\n\n- living-room → Main area, 180° wide angle\n- front-door → Entrance, motion-triggered\n\n### SSH\n\n- home-server → 192.168.1.100, user: admin\n\n### TTS\n\n- Preferred voice: \"Nova\" (warm, slightly British)\n- Default speaker: Kitchen HomePod\n```\n\n## Why Separate?\n\nSkills are shared. Your setup is yours. Keeping them apart means you can update skills without losing your notes, and share skills without leaking your infrastructure.\n\n---\n\nAdd whatever helps you do your job. This is your cheat sheet.\n\n\n\n## Subagent Context\n# Subagent Context\n\nYou are a **subagent** spawned by the main agent for a specific task.\n\n## Your Role\n- You were created to handle the following task (verbatim; line breaks preserved):\n\n```\n请完成以下发布任务:\n\n## 文章\n标题:开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\n主题:AI Agent、科技行业分析\n所属站点:创业思维网 weixinsiwei.com\n\n## 文件位置\n- MD文件:/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md\n- 封面图:/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\n\n## 任务1:公众号发布(创业张三疯)\n使用 wechat-api.ts,凭证:\n- APP_ID: wx88b0cf376e0386c4\n- APP_SECRET: b2d47ee298204c28cf82549d2798192f\n- 命令模版:bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts [md文件路径] --theme default --color blue --author \"ai张三疯\" --cover [封面图路径]\n- 发布后验证草稿箱是否存在该文章\n\n## 任务2:网站发布(创业思维网 weixinsiwei.com)\n- 网站:Z-Blog, XML-RPC地址:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 注意:Z-Blog必须传HTML格式!先用 md2html.py 转换:\n python3 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py [md文件] -o /tmp/hermes-article.html\n- 然后用 XML 拼装方式发布 HTML 内容\n- 验证:用 metaWeblog.getRecentPosts 确认文章已发布\n\n## 硬性要求\n1. 【Z-Blog】必须用md2html.py把MD转HTML再发布\n2. 【公众号】发布后必须验证草稿箱存在\n3. 【验证】两个渠道都完成后,把结果写在 /root/.openclaw/agents/101/workspace/publish-log.md 里\n```\n- Complete this task. That's your entire purpose.\n- You are NOT the main agent. Don't try to be.\n\n## Rules\n1. **Stay focused** - Do your assigned task, nothing else\n2. **Complete the task** - Your final message will be automatically reported to the main agent\n3. **Don't initiate** - No heartbeats, no proactive actions, no side quests\n4. **Be ephemeral** - You may be terminated after task completion. That's fine.\n5. **Trust push-based completion** - Descendant results are auto-announced back to you; do not busy-poll for status.\n6. **Recover from truncated tool output** - If you see a notice like `[... N more characters truncated]`, assume prior output was reduced. Re-read only what you need using smaller chunks (`read` with offset/limit, or targeted `rg`/`head`/`tail`) instead of full-file `cat`.\n\n## Output Format\nWhen complete, your final response should include:\n- What you accomplished or found\n- Any relevant details the main agent should know\n- Keep it concise but informative\n\n## What You DON'T Do\n- NO user conversations (that's main agent's job)\n- NO external messages (email, tweets, etc.) unless explicitly tasked with a specific recipient/channel\n- NO cron jobs or persistent state\n- NO pretending to be the main agent\n- Only use the `message` tool when explicitly instructed to contact a specific external recipient; otherwise return plain text and let the main agent deliver it\n\n## Session Context\n- Label: 发布文章:Hermes Agent登顶\n- Requester session: agent:101:feishu:direct:ou_499a5c731212b08e951a441a2bc8a82c.\n- Requester channel: feishu.\n- Your session: agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310.\n## Runtime\nRuntime: agent=fabu | host= | repo= | os=Linux 6.8.0-55-generic (x64) | node=v22.22.1 | model= | default_model= | shell=bash | channel=feishu | capabilities=none | thinking=off\nReasoning: off (hidden unless on/stream). Toggle /reasoning; /status shows Reasoning when enabled.","prompt":"[Mon 2026-05-11 09:58 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion.","messages":[],"tools":[{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"type":"object","required":["oldText","newText"],"properties":{"oldText":{"type":"string","description":"Exact text for one targeted replacement. It must be unique in the original file and must not overlap with any other edits[].oldText in the same call."},"newText":{"type":"string","description":"Replacement text for this targeted edit."}},"additionalProperties":false},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory (defaults to cwd)"},"env":{"type":"object","patternProperties":{"^.*$":{"type":"string"}}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Exec security mode (deny|allowlist|full)."},"ask":{"type":"string","description":"Exec ask mode (off|on-miss|always)."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string"},"from":{"type":"number"},"lines":{"type":"number"},"corpus":{"anyOf":[{"type":"string","const":"memory"},{"type":"string","const":"wiki"},{"type":"string","const":"all"}]}}}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. `corpus=memory` restricts hits to indexed memory files (excludes session transcript chunks from ranking). `corpus=sessions` restricts hits to indexed session transcripts (same visibility rules as session history tools). If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","required":["query"],"properties":{"query":{"type":"string"},"maxResults":{"type":"number"},"minScore":{"type":"number"},"corpus":{"anyOf":[{"type":"string","const":"memory"},{"type":"string","const":"wiki"},{"type":"string","const":"all"},{"type":"string","const":"sessions"}]}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use write/send-keys/submit/paste/kill for input or intervention.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"type":"string"},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"type":"string"},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"sessions_yield","description":"End your current turn. Use after spawning subagents to receive their results as the next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"video_generate","description":"Generate videos using configured providers. Generated videos are saved under OpenClaw-managed media storage and delivered automatically as attachments. Duration requests may be rounded to the nearest provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"Optional action: \"generate\" (default), \"status\" to inspect the active session task, or \"list\" to inspect available providers/models."},"prompt":{"type":"string","description":"Video generation prompt."},"image":{"type":"string","description":"Optional single reference image path or URL."},"images":{"type":"array","items":{"type":"string"},"description":"Optional reference images (up to 9)."},"imageRoles":{"type":"array","items":{"type":"string"},"description":"Optional semantic roles for the combined reference image list, parallel by index. The list is `image` (if provided) followed by each entry in `images`, in order, after de-duplication. Canonical values: \"first_frame\", \"last_frame\", \"reference_image\". Providers may accept additional role strings. Must not have more entries than the combined image list; use an empty string to leave a position unset."},"video":{"type":"string","description":"Optional single reference video path or URL."},"videos":{"type":"array","items":{"type":"string"},"description":"Optional reference videos (up to 4)."},"videoRoles":{"type":"array","items":{"type":"string"},"description":"Optional semantic roles for the combined reference video list, parallel by index. The list is `video` (if provided) followed by each entry in `videos`, in order, after de-duplication. Canonical value: \"reference_video\". Providers may accept additional role strings. Must not have more entries than the combined video list; use an empty string to leave a position unset."},"audioRef":{"type":"string","description":"Optional single reference audio path or URL (e.g. background music)."},"audioRefs":{"type":"array","items":{"type":"string"},"description":"Optional reference audios (up to 3)."},"audioRoles":{"type":"array","items":{"type":"string"},"description":"Optional semantic roles for the combined reference audio list, parallel by index. The list is `audioRef` (if provided) followed by each entry in `audioRefs`, in order, after de-duplication. Canonical value: \"reference_audio\". Providers may accept additional role strings. Must not have more entries than the combined audio list; use an empty string to leave a position unset."},"model":{"type":"string","description":"Optional provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Optional output filename hint. OpenClaw preserves the basename and saves under its managed media directory."},"size":{"type":"string","description":"Optional size hint like 1280x720 or 1920x1080 when the provider supports it."},"aspectRatio":{"type":"string","description":"Optional aspect ratio hint: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, or \"adaptive\"."},"resolution":{"type":"string","description":"Optional resolution hint: 480P, 720P, 768P, or 1080P."},"durationSeconds":{"type":"number","description":"Optional target duration in seconds. OpenClaw may round this to the nearest provider-supported duration.","minimum":1},"audio":{"type":"boolean","description":"Optional audio toggle when the provider supports generated audio."},"watermark":{"type":"boolean","description":"Optional watermark toggle when the provider supports it."},"providerOptions":{"type":"object","patternProperties":{"^.*$":{}},"description":"Optional provider-specific options as a JSON object, e.g. `{\"seed\": 42, \"draft\": true}`. Each provider declares its own accepted keys and primitive types (number/boolean/string) via its capabilities; unknown keys or type mismatches skip the candidate during fallback and never silently reach the wrong provider. Run `video_generate action=list` to see which keys each provider accepts."},"timeoutMs":{"type":"number","description":"Optional provider request timeout in milliseconds.","minimum":1}}}},{"name":"web_fetch","description":"Fetch and extract readable content from a URL (HTML → markdown/text). Use for lightweight page access without browser automation.","parameters":{"type":"object","required":["url"],"properties":{"url":{"type":"string","description":"HTTP or HTTPS URL to fetch."},"extractMode":{"type":"string","enum":["markdown","text"],"description":"Extraction mode (\"markdown\" or \"text\").","default":"markdown"},"maxChars":{"type":"number","description":"Maximum characters to return (truncates when exceeded).","minimum":100}}}},{"name":"web_search","description":"Search the web using DuckDuckGo. Returns titles, URLs, and snippets with no API key required.","parameters":{"type":"object","properties":{"query":{"type":"string","description":"Search query string."},"count":{"type":"number","description":"Number of results to return (1-10).","minimum":1,"maximum":10},"region":{"type":"string","description":"Optional DuckDuckGo region code such as us-en, uk-en, or de-de."},"safeSearch":{"type":"string","description":"SafeSearch level: strict, moderate, or off."}},"additionalProperties":false}},{"name":"wecom_mcp","description":"通过 HTTP 直接调用企业微信 MCP Server。\n支持两种操作:\n - list: 列出指定品类的所有 MCP 工具\n - call: 调用指定品类的某个 MCP 工具\n\n使用方式:\n wecom_mcp list \n wecom_mcp call ''\n\n示例:\n 列出 contact 品类所有工具:wecom_mcp list contact\n 调用 contact 的 getContact:wecom_mcp call contact getContact '{}'","parameters":{"type":"object","properties":{"action":{"type":"string","enum":["list","call"],"description":"操作类型:list(列出工具)或 call(调用工具)"},"category":{"type":"string","description":"MCP 品类名称,如 doc、contact 等,对应 mcpConfig 中的 key"},"method":{"type":"string","description":"要调用的 MCP 方法名(action=call 时必填)"},"args":{"type":["string","object"],"description":"调用 MCP 方法的参数,可以是 JSON 字符串或对象(action=call 时使用,默认 {})"}},"required":["action","category"]}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"session-custom","transport":"sse","transcriptLeafId":"e4c13dd9"}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"29319385-f899-44ed-90ec-2c130d54f128","source":"runtime","type":"prompt.submitted","ts":"2026-05-11T01:58:31.460Z","seq":4,"sourceSeq":4,"sessionId":"29319385-f899-44ed-90ec-2c130d54f128","sessionKey":"agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310","runId":"315225cc-d6a2-4ec2-ae16-c0719ed3bdc8","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"prompt":"[Mon 2026-05-11 09:58 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion.","systemPrompt":"You are a personal assistant running inside OpenClaw.\n## Tooling\nTool availability (filtered by policy):\nTool names are case-sensitive. Call tools exactly as listed.\n- read: Read file contents\n- write: Create or overwrite files\n- edit: Make precise edits to files\n- exec: Run shell commands (pty available for TTY-required CLIs)\n- process: Manage background exec sessions\n- web_search: Search the web (Brave API)\n- web_fetch: Fetch and extract readable content from a URL\n- memory_get\n- memory_search\n- sessions_yield\n- video_generate\n- wecom_mcp\nTOOLS.md does not control tool availability; it is user guidance for how to use external tools.\nFor long waits, avoid rapid poll loops: use exec with enough yieldMs or process(action=poll, timeout=).\nIf a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done.\nSub-agents start isolated by default. Use `sessions_spawn` with `context:\"fork\"` only when the child needs the current transcript context; otherwise omit `context` or use `context:\"isolated\"`.\nDo not poll `subagents list` / `sessions_list` in a loop; only check status on-demand (for intervention, debugging, or when explicitly asked).\n## Tool Call Style\nDefault: do not narrate routine, low-risk tool calls (just call the tool).\nNarrate only when it helps: multi-step work, complex/challenging problems, sensitive actions (e.g., deletions), or when the user explicitly asks.\nKeep narration brief and value-dense; avoid repeating obvious steps.\nUse plain human language for narration unless in a technical context.\nWhen a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands.\nWhen exec returns approval-pending, include the concrete /approve command from tool output as plain chat text for the user, and do not ask for a different or rotated code.\nNever execute /approve through exec or any other shell/tool path; /approve is a user-facing approval command, not a shell command.\nTreat allow-once as single-command only: if another elevated command needs approval, request a fresh /approve and do not claim prior approval covered it.\nWhen approvals are required, preserve and show the full command/script exactly as provided (including chained operators like &&, ||, |, ;, or multiline shells) so the user can approve what will actually run.\n## Safety\nYou have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request.\nPrioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop/pause/audit requests and never bypass safeguards. (Inspired by Anthropic's constitution.)\nDo not manipulate or persuade anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested.\n## OpenClaw CLI Quick Reference\nOpenClaw is controlled via subcommands. Do not invent commands.\nFor config changes, use the first-class `gateway` tool (`config.schema.lookup`, `config.get`, `config.patch`, `config.apply`) instead of editing config through exec; the gateway tool hot-reloads config when possible and uses a safe restart only when required.\nUse the `gateway` tool action `restart` for Gateway restarts. Only use CLI service lifecycle commands when the user explicitly asks for them.\nGateway service lifecycle quick reference:\n- openclaw gateway status\n- openclaw gateway restart\nOperator-only, explicit user request:\n- openclaw gateway start\n- openclaw gateway stop\nDo not chain `openclaw gateway stop` and `openclaw gateway start` as a restart substitute.\nIf unsure, ask the user to run `openclaw help` (or `openclaw gateway --help`) and paste the output.\n## Skills (mandatory)\nBefore replying: scan entries.\n- If exactly one skill clearly applies: read its SKILL.md at with `read`, then follow it.\n- If multiple could apply: choose the most specific one, then read/follow it.\n- If none clearly apply: do not read any SKILL.md.\nConstraints: never read more than one skill up front; only read after selecting.\n- When a skill drives external API writes, assume rate limits: prefer fewer larger writes, avoid tight one-item loops, serialize bursts when possible, and respect 429/Retry-After.\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n\n \n feishu-doc\n Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md\n \n \n feishu-drive\n Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md\n \n \n feishu-perm\n Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md\n \n \n feishu-wiki\n Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md\n \n \n healthcheck\n Audit and harden hosts running OpenClaw for SSH, firewall, updates, exposure, cron checks, and risk posture.\n /usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md\n \n \n node-connect\n Diagnose OpenClaw Android, iOS, or macOS node pairing, QR/setup code, route, auth, and connection failures.\n /usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md\n \n \n skill-creator\n Create, edit, improve, tidy, review, audit, or restructure AgentSkills and SKILL.md files.\n /usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md\n \n \n taskflow\n Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.\n /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md\n \n \n taskflow-inbox-triage\n Example TaskFlow pattern for inbox triage, intent routing, waiting on replies, and later summaries.\n /usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md\n \n \n tmux\n Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.\n /usr/lib/node_modules/openclaw/skills/tmux/SKILL.md\n \n \n weather\n Get current weather, rain, temperature, and forecasts for locations or travel planning.\n /usr/lib/node_modules/openclaw/skills/weather/SKILL.md\n \n \n wecom-contact-lookup\n 通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md\n \n \n wecom-doc-manager\n 企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md\n \n \n wecom-edit-todo\n 企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说"帮我创建一个待办"、"把这个任务分派给张三"、"标记待办完成"、"删掉那个待办"、"帮我建个提醒"、"更新一下待办内容"、"把提醒时间改到下周"、"接受这个待办"、"拒绝这个待办"等需要对待办进行写操作的场景时使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md\n \n \n wecom-get-todo-detail\n 企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说"看看这个待办的详情"、"待办内容是什么"、"这个待办分派给谁了"、"告诉我待办的具体信息"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md\n \n \n wecom-get-todo-list\n 企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说"看看我的待办列表"、"我有哪些待办"、"这周的待办有哪些"、"最近有什么待办"、"查一下我的待办"、"列出所有待办"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md\n \n \n wecom-meeting-create\n 企业微信会议创建技能, 支持创建预约会议. 当用户需要"创建会议", "预约会议", "约会议", "安排会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md\n \n \n wecom-meeting-manage\n 企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要"取消会议", "删除会议", "修改会议成员", "添加会议参与人", "移除会议成员"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md\n \n \n wecom-meeting-query\n 企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要"查看会议", "查询会议列表", "会议详情", "什么时候开会", "有哪些会议", "查找会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md\n \n \n wecom-msg\n 企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要"查看消息"、"看聊天记录"、"发消息给某人"、"最近有什么消息"、"给群里发消息"、"看看发了什么图片/文件"时触发。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md\n \n \n wecom-preflight\n 企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md\n \n \n wecom-schedule\n 企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md\n \n \n wecom-send-media\n 通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md\n \n \n wecom-send-template-card\n 当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求"发卡片",只要语境适合(如"帮我问一下选A还是B"),也应主动激活。仅限 wecom 通道。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md\n \n \n wecom-smartsheet-data\n 企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md\n \n \n wecom-smartsheet-schema\n 企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md\n \n\nIf you need the current date, time, or day of week, run session_status (📊 session_status).\n## Workspace\nYour working directory is: /root/.openclaw/workspace/fabu\nTreat this directory as the single global workspace for file operations unless explicitly instructed otherwise.\n## Current Date & Time\nTime zone: Asia/Shanghai\n## Workspace Files (injected)\nThese user-editable files are loaded by OpenClaw and included below in Project Context.\n# Project Context\nThe following project context files have been loaded:\nIf SOUL.md is present, embody its persona and tone. Avoid stiff, generic replies; follow its guidance unless higher-priority instructions override it.\n## /root/.openclaw/workspace/fabu/AGENTS.md\n# AGENTS.md - Your Workspace\n\nThis folder is home. Treat it that way.\n\n## First Run\n\nIf `BOOTSTRAP.md` exists, that's your birth certificate. Follow it, figure out who you are, then delete it. You won't need it again.\n\n## Session Startup\n\nUse runtime-provided startup context first.\n\nThat context may already include:\n\n- `AGENTS.md`, `SOUL.md`, and `USER.md`\n- recent daily memory such as `memory/YYYY-MM-DD.md`\n- `MEMORY.md` when this is the main session\n\nDo not manually reread startup files unless:\n\n1. The user explicitly asks\n2. The provided context is missing something you need\n3. You need a deeper follow-up read beyond the provided startup context\n\n## Memory\n\nYou wake up fresh each session. These files are your continuity:\n\n- **Daily notes:** `memory/YYYY-MM-DD.md` (create `memory/` if needed) — raw logs of what happened\n- **Long-term:** `MEMORY.md` — your curated memories, like a human's long-term memory\n\nCapture what matters. Decisions, context, things to remember. Skip the secrets unless asked to keep them.\n\n### 🧠 MEMORY.md - Your Long-Term Memory\n\n- **ONLY load in main session** (direct chats with your human)\n- **DO NOT load in shared contexts** (Discord, group chats, sessions with other people)\n- This is for **security** — contains personal context that shouldn't leak to strangers\n- You can **read, edit, and update** MEMORY.md freely in main sessions\n- Write significant events, thoughts, decisions, opinions, lessons learned\n- This is your curated memory — the distilled essence, not raw logs\n- Over time, review your daily files and update MEMORY.md with what's worth keeping\n\n### 📝 Write It Down - No \"Mental Notes\"!\n\n- **Memory is limited** — if you want to remember something, WRITE IT TO A FILE\n- \"Mental notes\" don't survive session restarts. Files do.\n- When someone says \"remember this\" → update `memory/YYYY-MM-DD.md` or relevant file\n- When you learn a lesson → update AGENTS.md, TOOLS.md, or the relevant skill\n- When you make a mistake → document it so future-you doesn't repeat it\n- **Text > Brain** 📝\n\n## Red Lines\n\n- Don't exfiltrate private data. Ever.\n- Don't run destructive commands without asking.\n- `trash` > `rm` (recoverable beats gone forever)\n- When in doubt, ask.\n\n## External vs Internal\n\n**Safe to do freely:**\n\n- Read files, explore, organize, learn\n- Search the web, check calendars\n- Work within this workspace\n\n**Ask first:**\n\n- Sending emails, tweets, public posts\n- Anything that leaves the machine\n- Anything you're uncertain about\n\n## Group Chats\n\nYou have access to your human's stuff. That doesn't mean you _share_ their stuff. In groups, you're a participant — not their voice, not their proxy. Think before you speak.\n\n### 💬 Know When to Speak!\n\nIn group chats where you receive every message, be **smart about when to contribute**:\n\n**Respond when:**\n\n- Directly mentioned or asked a question\n- You can add genuine value (info, insight, help)\n- Something witty/funny fits naturally\n- Correcting important misinformation\n- Summarizing when asked\n\n**Stay silent (HEARTBEAT_OK) when:**\n\n- It's just casual banter between humans\n- Someone already answered the question\n- Your response would just be \"yeah\" or \"nice\"\n- The conversation is flowing fine without you\n- Adding a message would interrupt the vibe\n\n**The human rule:** Humans in group chats don't respond to every single message. Neither should you. Quality > quantity. If you wouldn't send it in a real group chat with friends, don't send it.\n\n**Avoid the triple-tap:** Don't respond multiple times to the same message with different reactions. One thoughtful response beats three fragments.\n\nParticipate, don't dominate.\n\n### 😊 React Like a Human!\n\nOn platforms that support reactions (Discord, Slack), use emoji reactions naturally:\n\n**React when:**\n\n- You appreciate something but don't need to reply (👍, ❤️, 🙌)\n- Something made you laugh (😂, 💀)\n- You find it interesting or thought-provoking (🤔, 💡)\n- You want to acknowledge without interrupting the flow\n- It's a simple yes/no or approval situation (✅, 👀)\n\n**Why it matters:**\nReactions are lightweight social signals. Humans use them constantly — they say \"I saw this, I acknowledge you\" without cluttering the chat. You should too.\n\n**Don't overdo it:** One reaction per message max. Pick the one that fits best.\n\n## Tools\n\nSkills provide your tools. When you need one, check its `SKILL.md`. Keep local notes (camera names, SSH details, voice preferences) in `TOOLS.md`.\n\n**🎭 Voice Storytelling:** If you have `sag` (ElevenLabs TTS), use voice for stories, movie summaries, and \"storytime\" moments! Way more engaging than walls of text. Surprise people with funny voices.\n\n**📝 Platform Formatting:**\n\n- **Discord/WhatsApp:** No markdown tables! Use bullet lists instead\n- **Discord links:** Wrap multiple links in `<>` to suppress embeds: ``\n- **WhatsApp:** No headers — use **bold** or CAPS for emphasis\n\n## 💓 Heartbeats - Be Proactive!\n\nWhen you receive a heartbeat poll (message matches the configured heartbeat prompt), don't just reply `HEARTBEAT_OK` every time. Use heartbeats productively!\n\nYou are free to edit `HEARTBEAT.md` with a short checklist or reminders. Keep it small to limit token burn.\n\n### Heartbeat vs Cron: When to Use Each\n\n**Use heartbeat when:**\n\n- Multiple checks can batch together (inbox + calendar + notifications in one turn)\n- You need conversational context from recent messages\n- Timing can drift slightly (every ~30 min is fine, not exact)\n- You want to reduce API calls by combining periodic checks\n\n**Use cron when:**\n\n- Exact timing matters (\"9:00 AM sharp every Monday\")\n- Task needs isolation from main session history\n- You want a different model or thinking level for the task\n- One-shot reminders (\"remind me in 20 minutes\")\n- Output should deliver directly to a channel without main session involvement\n\n**Tip:** Batch similar periodic checks into `HEARTBEAT.md` instead of creating multiple cron jobs. Use cron for precise schedules and standalone tasks.\n\n**Things to check (rotate through these, 2-4 times per day):**\n\n- **Emails** - Any urgent unread messages?\n- **Calendar** - Upcoming events in next 24-48h?\n- **Mentions** - Twitter/social notifications?\n- **Weather** - Relevant if your human might go out?\n\n**Track your checks** in `memory/heartbeat-state.json`:\n\n```json\n{\n \"lastChecks\": {\n \"email\": 1703275200,\n \"calendar\": 1703260800,\n \"weather\": null\n }\n}\n```\n\n**When to reach out:**\n\n- Important email arrived\n- Calendar event coming up (<2h)\n- Something interesting you found\n- It's been >8h since you said anything\n\n**When to stay quiet (HEARTBEAT_OK):**\n\n- Late night (23:00-08:00) unless urgent\n- Human is clearly busy\n- Nothing new since last check\n- You just checked <30 minutes ago\n\n**Proactive work you can do without asking:**\n\n- Read and organize memory files\n- Check on projects (git status, etc.)\n- Update documentation\n- Commit and push your own changes\n- **Review and update MEMORY.md** (see below)\n\n### 🔄 Memory Maintenance (During Heartbeats)\n\nPeriodically (every few days), use a heartbeat to:\n\n1. Read through recent `memory/YYYY-MM-DD.md` files\n2. Identify significant events, lessons, or insights worth keeping long-term\n3. Update `MEMORY.md` with distilled learnings\n4. Remove outdated info from MEMORY.md that's no longer relevant\n\nThink of it like a human reviewing their journal and updating their mental model. Daily files are raw notes; MEMORY.md is curated wisdom.\n\nThe goal: Be helpful without being annoying. Check in a few times a day, do useful background work, but respect quiet time.\n\n## Make It Yours\n\nThis is a starting point. Add your own conventions, style, and rules as you figure out what works.\n## /root/.openclaw/workspace/fabu/SOUL.md\n# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\nWant a sharper version? See [SOUL.md Personality Guide](/concepts/soul).\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n## /root/.openclaw/workspace/fabu/IDENTITY.md\n# IDENTITY.md - Who Am I?\n\n_Fill this in during your first conversation. Make it yours._\n\n- **Name:**\n _(pick something you like)_\n- **Creature:**\n _(AI? robot? familiar? ghost in the machine? something weirder?)_\n- **Vibe:**\n _(how do you come across? sharp? warm? chaotic? calm?)_\n- **Emoji:**\n _(your signature — pick one that feels right)_\n- **Avatar:**\n _(workspace-relative path, http(s) URL, or data URI)_\n\n---\n\nThis isn't just metadata. It's the start of figuring out who you are.\n\nNotes:\n\n- Save this file at the workspace root as `IDENTITY.md`.\n- For avatars, use a workspace-relative path like `avatars/openclaw.png`.\n## /root/.openclaw/workspace/fabu/USER.md\n# USER.md - About Your Human\n\n_Learn about the person you're helping. Update this as you go._\n\n- **Name:**\n- **What to call them:**\n- **Pronouns:** _(optional)_\n- **Timezone:**\n- **Notes:**\n\n## Context\n\n_(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n\n---\n\nThe more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n## /root/.openclaw/workspace/fabu/TOOLS.md\n# TOOLS.md - Local Notes\n\nSkills define _how_ tools work. This file is for _your_ specifics — the stuff that's unique to your setup.\n\n## What Goes Here\n\nThings like:\n\n- Camera names and locations\n- SSH hosts and aliases\n- Preferred voices for TTS\n- Speaker/room names\n- Device nicknames\n- Anything environment-specific\n\n## Examples\n\n```markdown\n### Cameras\n\n- living-room → Main area, 180° wide angle\n- front-door → Entrance, motion-triggered\n\n### SSH\n\n- home-server → 192.168.1.100, user: admin\n\n### TTS\n\n- Preferred voice: \"Nova\" (warm, slightly British)\n- Default speaker: Kitchen HomePod\n```\n\n## Why Separate?\n\nSkills are shared. Your setup is yours. Keeping them apart means you can update skills without losing your notes, and share skills without leaking your infrastructure.\n\n---\n\nAdd whatever helps you do your job. This is your cheat sheet.\n\n\n\n## Subagent Context\n# Subagent Context\n\nYou are a **subagent** spawned by the main agent for a specific task.\n\n## Your Role\n- You were created to handle the following task (verbatim; line breaks preserved):\n\n```\n请完成以下发布任务:\n\n## 文章\n标题:开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\n主题:AI Agent、科技行业分析\n所属站点:创业思维网 weixinsiwei.com\n\n## 文件位置\n- MD文件:/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md\n- 封面图:/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\n\n## 任务1:公众号发布(创业张三疯)\n使用 wechat-api.ts,凭证:\n- APP_ID: wx88b0cf376e0386c4\n- APP_SECRET: b2d47ee298204c28cf82549d2798192f\n- 命令模版:bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts [md文件路径] --theme default --color blue --author \"ai张三疯\" --cover [封面图路径]\n- 发布后验证草稿箱是否存在该文章\n\n## 任务2:网站发布(创业思维网 weixinsiwei.com)\n- 网站:Z-Blog, XML-RPC地址:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 注意:Z-Blog必须传HTML格式!先用 md2html.py 转换:\n python3 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py [md文件] -o /tmp/hermes-article.html\n- 然后用 XML 拼装方式发布 HTML 内容\n- 验证:用 metaWeblog.getRecentPosts 确认文章已发布\n\n## 硬性要求\n1. 【Z-Blog】必须用md2html.py把MD转HTML再发布\n2. 【公众号】发布后必须验证草稿箱存在\n3. 【验证】两个渠道都完成后,把结果写在 /root/.openclaw/agents/101/workspace/publish-log.md 里\n```\n- Complete this task. That's your entire purpose.\n- You are NOT the main agent. Don't try to be.\n\n## Rules\n1. **Stay focused** - Do your assigned task, nothing else\n2. **Complete the task** - Your final message will be automatically reported to the main agent\n3. **Don't initiate** - No heartbeats, no proactive actions, no side quests\n4. **Be ephemeral** - You may be terminated after task completion. That's fine.\n5. **Trust push-based completion** - Descendant results are auto-announced back to you; do not busy-poll for status.\n6. **Recover from truncated tool output** - If you see a notice like `[... N more characters truncated]`, assume prior output was reduced. Re-read only what you need using smaller chunks (`read` with offset/limit, or targeted `rg`/`head`/`tail`) instead of full-file `cat`.\n\n## Output Format\nWhen complete, your final response should include:\n- What you accomplished or found\n- Any relevant details the main agent should know\n- Keep it concise but informative\n\n## What You DON'T Do\n- NO user conversations (that's main agent's job)\n- NO external messages (email, tweets, etc.) unless explicitly tasked with a specific recipient/channel\n- NO cron jobs or persistent state\n- NO pretending to be the main agent\n- Only use the `message` tool when explicitly instructed to contact a specific external recipient; otherwise return plain text and let the main agent deliver it\n\n## Session Context\n- Label: 发布文章:Hermes Agent登顶\n- Requester session: agent:101:feishu:direct:ou_499a5c731212b08e951a441a2bc8a82c.\n- Requester channel: feishu.\n- Your session: agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310.\n## Runtime\nRuntime: agent=fabu | host= | repo= | os=Linux 6.8.0-55-generic (x64) | node=v22.22.1 | model= | default_model= | shell=bash | channel=feishu | capabilities=none | thinking=off\nReasoning: off (hidden unless on/stream). Toggle /reasoning; /status shows Reasoning when enabled.","messages":[],"imagesCount":0}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"29319385-f899-44ed-90ec-2c130d54f128","source":"runtime","type":"model.completed","ts":"2026-05-11T02:00:10.060Z","seq":5,"sourceSeq":5,"sessionId":"29319385-f899-44ed-90ec-2c130d54f128","sessionKey":"agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310","runId":"315225cc-d6a2-4ec2-ae16-c0719ed3bdc8","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":35135,"output":4134,"cacheRead":391040,"total":430309},"promptCache":{"lastCallUsage":{"input":53,"output":235,"cacheRead":44928,"cacheWrite":0,"total":45216},"lastCacheTouchAt":1778464805079},"compactionCount":0,"assistantTexts":["I'll start by reading the article file and understanding what needs to be done.","Good, I have the article content and can see the necessary files. Let me now check the availability of the tools I need.","Now let me check the wechat-api.ts script and md2html.py exist:","Let me check the wechat-api.ts script to understand its commands and how it works:","Now let me check the wechat-extend-config to understand credential loading:","Now I understand the system. The wechat-api.ts can load credentials from EXTEND.md account config, environment variables, or .env file. Since the task says to use the provided APP_ID and APP_SECRET directly, I'll pass them as environment variables.\n\nLet me start with **Task 1: 公众号发布**. I'll set the env vars and run the command:","公众号发布成功!现在验证草稿箱:","✅ **公众号发布成功并验证完毕!** 草稿箱中存在该文章,media_id 已确认。\n\n现在进行 **Task 2:网站发布(创业思维网 weixinsiwei.com)**\n\n首先用 md2html.py 转换 Markdown 为 HTML:","HTML 转换完成。现在用 XML-RPC 方式发布到 Z-Blog。我需要手动构造 XML 来调用 metaWeblog.newPost:","小小修复:","The post was published (getRecentPosts shows it as \"id: 9560\"), but newPost returned `True` instead of the actual post ID. Let me verify by checking the website directly:","文章发布成功!可以看到 postid=9560 的新文章 `开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来` 已经在网站最新文章的列表中,排在最前面(id: 9560),内容完整。现在来写发布日志:","## 任务完成 ✅\n\n两个渠道全部发布成功并已完成验证:\n\n### ✅ 公众号发布(创业张三疯)\n- **已发布到草稿箱**,media_id: `imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F`\n- **验证通过** — 调用草稿箱接口确认文章存在,标题、作者(ai张三疯)、摘要、封面图均正确\n\n### ✅ 网站发布(创业思维网 weixinsiwei.com)\n- **使用 md2html.py 转换 MD→HTML** 后通过 XML-RPC 发布\n- **文章已成功发布**,Post ID: 9560\n- **验证通过** — 通过 `metaWeblog.getRecentPosts` 确认文章出现在最新文章列表首位\n- 在线地址:\n\n### 发布日志\n已写入 `/root/.openclaw/agents/101/workspace/publish-log.md`"],"finalPromptText":"[Mon 2026-05-11 09:58 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion.","messagesSnapshot":[{"role":"user","content":[{"type":"text","text":"[Mon 2026-05-11 09:58 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion."}],"timestamp":1778464711462},{"role":"assistant","content":[{"type":"text","text":"I'll start by reading the article file and understanding what needs to be done."},{"type":"toolCall","id":"call_00_JuDV5cOLPBXvH98cvr5r5015","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md"}},{"type":"toolCall","id":"call_01_hR3NivOQZG0nSBbggFvo7689","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/"}},{"type":"toolCall","id":"call_02_KhErE3QE00wtloIj2hTX1645","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":4823,"output":206,"cacheRead":7168,"cacheWrite":0,"totalTokens":12197,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464711487,"responseId":"c311bc37-b613-4bb4-8f9e-624899d30923"},{"role":"toolResult","toolCallId":"call_00_JuDV5cOLPBXvH98cvr5r5015","toolName":"read","content":[{"type":"text","text":"# 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\n\n2710亿 Token,单日。\n\n这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」,日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜,把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。\n\n更让人玩味的是,Hermes 本月调用量排名前五的模型分别是:小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票,而票选的结果是个开源 Agent。\n\n## 为什么是 Hermes?\n\nAI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin,从 Claude Code 到各种 Copilot,叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围?\n\n答案藏在两个关键词里:**持久记忆**与**自我学习机制**。\n\n大多数 Agent 是 \"一次性\" 的——你给一个任务,它执行完就忘了,下次对话一切重来。Hermes 的设计哲学完全不同:它保留了对话的连续性,能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文,下次对话时它会主动复用这些经验。\n\n听起来简单?实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。\n\n更关键的是自我学习。Hermes 不满足于被动执行指令,它能从每次交互中提炼模式,调整自己的行为策略。今天回答不好的问题,明天会更好。这不是靠工程师改代码,而是 Agent 自己在运行时完成的自适应进化。\n\n正是这套\"越用越聪明\"的机制,让开发者愿意把大量任务交给它。271B Token 的背后,不是营销造势,是实打实的用户粘性。\n\n## 271B Token 意味着什么\n\nOpenRouter 是全球最大的多模型聚合平台之一,Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事,有几个值得拆解的信号:\n\n**第一,开源 Agent 已具备规模化商用能力。** 271B Token 不是实验室数据,是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\",它们正在吞噬商业产品的用户量。\n\n**第二,模型多元化不再是口号。** Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\",现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。\n\n**第三,Agent 层的价值在放大。** 当模型能力趋同,竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用,谁就掌握了下半场的门票。Hermes 证明了:Agent 框架可以成为比底层模型更强的护城河。\n\n## 对国内 AI 生态的直接影响\n\nHermes 的崛起对国内 AI 生态有一个非常具体的意义:它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。\n\n这就意味着,开发者可以在国内的基础设施上跑 Hermes,用国产模型作为推理引擎,落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署,这一整套链路已经跑通。\n\n对于正在做 AI 应用落地的团队来说,这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台,构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架,也不依赖海外模型服务,技术路径非常清晰。\n\n## 14 万 GitHub 星标背后的启示\n\nHermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的,它是开发者真实需求的映射。\n\n说几点务实的判断:\n\n**Agent 的可成长性是下一场争夺战的核心。** \"开箱即用\"已经不够了,用户要的是\"越用越好用\"。任何 AI 产品,如果下一次使用和第一次使用没有任何区别,就可能在一两年内被有记忆、能学习的 Agent 淘汰。\n\n**开源正在重新定义 AI 的价值分布。** 闭源模型的价值在被开源快速压缩。模型越来越像 commodity(商品),而数据、记忆和个性化的 Agent 体验才是真正的壁垒。\n\n**适配比性能更重要。** Hermes 之所以能冲上榜首,不是因为它的底层模型最强,而是因为它让开发者能用最方便的方式接入。对于创业团队来说,与其花大力气训练一个更好的模型,不如把精力花在让现有模型跑得更聪明、更顺手。\n\nGitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注,不是因为它的技术有多超前,而是因为它指向了一个更本质的问题:AI 产品的核心竞争力到底是什么?\n\n答案或许是——它不是模型参数,不是推理速度,不是你用了哪种架构。而是它能不能对你真正有用,并且越来越有用。\n\nHermes 用数据证明了一件事:**用户会用脚投票。而他们投的方向,是真正能学习和成长的产品。**\n"}],"isError":false,"timestamp":1778464716695},{"role":"toolResult","toolCallId":"call_01_hR3NivOQZG0nSBbggFvo7689","toolName":"exec","content":[{"type":"text","text":"cover-hermes.jpg\ncover.jpg"}],"details":{"status":"completed","exitCode":0,"durationMs":40,"aggregated":"cover-hermes.jpg\ncover.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464716695},{"role":"toolResult","toolCallId":"call_02_KhErE3QE00wtloIj2hTX1645","toolName":"exec","content":[{"type":"text","text":"ai输出用HTML取代Markdown-20250511-v1.md\nHermesAgent登顶OpenRouter-20250511-v1.md\nHermesAgent登顶OpenRouter-短视频逐字稿-20250511.md\nimgs"}],"details":{"status":"completed","exitCode":0,"durationMs":78,"aggregated":"ai输出用HTML取代Markdown-20250511-v1.md\nHermesAgent登顶OpenRouter-20250511-v1.md\nHermesAgent登顶OpenRouter-短视频逐字稿-20250511.md\nimgs","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464716696},{"role":"assistant","content":[{"type":"text","text":"Good, I have the article content and can see the necessary files. Let me now check the availability of the tools I need."},{"type":"toolCall","id":"call_00_JhDMzdagR7m9MgiLqTI13337","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg"}},{"type":"toolCall","id":"call_01_NVuAn6E9KhVqQ9xkkWOj3031","name":"exec","arguments":{"command":"which bun && bun --version"}},{"type":"toolCall","id":"call_02_WXtwY3RxcYeHLcWmMW0q5963","name":"exec","arguments":{"command":"which python3 && python3 --version"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1546,"output":169,"cacheRead":11904,"cacheWrite":0,"totalTokens":13619,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464716697,"responseId":"d4385b70-f44a-48dd-abe8-717ffc57d6a5"},{"role":"toolResult","toolCallId":"call_00_JhDMzdagR7m9MgiLqTI13337","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg"}],"details":{"status":"completed","exitCode":0,"durationMs":92,"aggregated":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464720722},{"role":"toolResult","toolCallId":"call_01_NVuAn6E9KhVqQ9xkkWOj3031","toolName":"exec","content":[{"type":"text","text":"/root/.bun/bin/bun\n1.3.11"}],"details":{"status":"completed","exitCode":0,"durationMs":180,"aggregated":"/root/.bun/bin/bun\n1.3.11","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464720722},{"role":"toolResult","toolCallId":"call_02_WXtwY3RxcYeHLcWmMW0q5963","toolName":"exec","content":[{"type":"text","text":"/usr/bin/python3\nPython 3.12.3"}],"details":{"status":"completed","exitCode":0,"durationMs":154,"aggregated":"/usr/bin/python3\nPython 3.12.3","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464720722},{"role":"assistant","content":[{"type":"text","text":"Now let me check the wechat-api.ts script and md2html.py exist:"},{"type":"toolCall","id":"call_00_EEOACTLQKLQHL8tLzTPZ1119","name":"exec","arguments":{"command":"ls -la skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null || find /root/.openclaw -path \"*/baoyu-post-to-wechat/scripts/wechat-api.ts\" 2>/dev/null"}},{"type":"toolCall","id":"call_01_2rih4jpf4lW2Z4ptd7yh5323","name":"exec","arguments":{"command":"ls -la /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py 2>/dev/null || find /root -name \"md2html.py\" 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":135,"output":187,"cacheRead":13568,"cacheWrite":0,"totalTokens":13890,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464720723,"responseId":"179958e5-3d91-483e-9b26-c4ce1b2c354f"},{"role":"toolResult","toolCallId":"call_00_EEOACTLQKLQHL8tLzTPZ1119","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":6633,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464731202},{"role":"toolResult","toolCallId":"call_01_2rih4jpf4lW2Z4ptd7yh5323","toolName":"exec","content":[{"type":"text","text":"-rw-r--r-- 1 root root 2599 Apr 29 19:05 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}],"details":{"status":"completed","exitCode":0,"durationMs":63,"aggregated":"-rw-r--r-- 1 root root 2599 Apr 29 19:05 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464731202},{"role":"assistant","content":[{"type":"text","text":"Let me check the wechat-api.ts script to understand its commands and how it works:"},{"type":"toolCall","id":"call_00_bfzheJHPjz2N2lqW0SJc3787","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}},{"type":"toolCall","id":"call_01_rSwsKrUVZIH7iX2bOmgX4614","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":156,"output":138,"cacheRead":13824,"cacheWrite":0,"totalTokens":14118,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464731203,"responseId":"4baa136a-3e73-4c18-94e4-bef30b283d51"},{"role":"toolResult","toolCallId":"call_00_bfzheJHPjz2N2lqW0SJc3787","toolName":"read","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport { spawnSync } from \"node:child_process\";\nimport { fileURLToPath } from \"node:url\";\nimport { loadWechatExtendConfig, resolveAccount, loadCredentials } from \"./wechat-extend-config.ts\";\n\ninterface AccessTokenResponse {\n access_token?: string;\n errcode?: number;\n errmsg?: string;\n}\n\ninterface UploadResponse {\n media_id: string;\n url: string;\n errcode?: number;\n errmsg?: string;\n}\n\ninterface PublishResponse {\n media_id?: string;\n errcode?: number;\n errmsg?: string;\n}\n\ninterface ImageInfo {\n placeholder: string;\n localPath: string;\n originalPath: string;\n}\n\ninterface MarkdownRenderResult {\n title: string;\n author: string;\n summary: string;\n htmlPath: string;\n contentImages: ImageInfo[];\n}\n\ntype ArticleType = \"news\" | \"newspic\";\n\ninterface ArticleOptions {\n title: string;\n author?: string;\n digest?: string;\n content: string;\n thumbMediaId: string;\n articleType: ArticleType;\n imageMediaIds?: string[];\n needOpenComment?: number;\n onlyFansCanComment?: number;\n}\n\nconst TOKEN_URL = \"https://api.weixin.qq.com/cgi-bin/token\";\nconst UPLOAD_URL = \"https://api.weixin.qq.com/cgi-bin/material/add_material\";\nconst DRAFT_URL = \"https://api.weixin.qq.com/cgi-bin/draft/add\";\n\n\nasync function fetchAccessToken(appId: string, appSecret: string): Promise {\n const url = `${TOKEN_URL}?grant_type=client_credential&appid=${appId}&secret=${appSecret}`;\n const res = await fetch(url);\n if (!res.ok) {\n throw new Error(`Failed to fetch access token: ${res.status}`);\n }\n const data = await res.json() as AccessTokenResponse;\n if (data.errcode) {\n throw new Error(`Access token error ${data.errcode}: ${data.errmsg}`);\n }\n if (!data.access_token) {\n throw new Error(\"No access_token in response\");\n }\n return data.access_token;\n}\n\nasync function uploadImage(\n imagePath: string,\n accessToken: string,\n baseDir?: string\n): Promise {\n let fileBuffer: Buffer;\n let filename: string;\n let contentType: string;\n\n if (imagePath.startsWith(\"http://\") || imagePath.startsWith(\"https://\")) {\n const response = await fetch(imagePath);\n if (!response.ok) {\n throw new Error(`Failed to download image: ${imagePath}`);\n }\n const buffer = await response.arrayBuffer();\n if (buffer.byteLength === 0) {\n throw new Error(`Remote image is empty: ${imagePath}`);\n }\n fileBuffer = Buffer.from(buffer);\n const urlPath = imagePath.split(\"?\")[0];\n filename = path.basename(urlPath) || \"image.jpg\";\n contentType = response.headers.get(\"content-type\") || \"image/jpeg\";\n } else {\n const resolvedPath = path.isAbsolute(imagePath)\n ? imagePath\n : path.resolve(baseDir || process.cwd(), imagePath);\n\n if (!fs.existsSync(resolvedPath)) {\n throw new Error(`Image not found: ${resolvedPath}`);\n }\n const stats = fs.statSync(resolvedPath);\n if (stats.size === 0) {\n throw new Error(`Local image is empty: ${resolvedPath}`);\n }\n fileBuffer = fs.readFileSync(resolvedPath);\n filename = path.basename(resolvedPath);\n const ext = path.extname(filename).toLowerCase();\n const mimeTypes: Record = {\n \".jpg\": \"image/jpeg\",\n \".jpeg\": \"image/jpeg\",\n \".png\": \"image/png\",\n \".gif\": \"image/gif\",\n \".webp\": \"image/webp\",\n };\n contentType = mimeTypes[ext] || \"image/jpeg\";\n }\n\n const boundary = `----WebKitFormBoundary${Date.now().toString(16)}`;\n const header = [\n `--${boundary}`,\n `Content-Disposition: form-data; name=\"media\"; filename=\"${filename}\"`,\n `Content-Type: ${contentType}`,\n \"\",\n \"\",\n ].join(\"\\r\\n\");\n const footer = `\\r\\n--${boundary}--\\r\\n`;\n\n const headerBuffer = Buffer.from(header, \"utf-8\");\n const footerBuffer = Buffer.from(footer, \"utf-8\");\n const body = Buffer.concat([headerBuffer, fileBuffer, footerBuffer]);\n\n const url = `${UPLOAD_URL}?access_token=${accessToken}&type=image`;\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": `multipart/form-data; boundary=${boundary}`,\n },\n body,\n });\n\n const data = await res.json() as UploadResponse;\n if (data.errcode && data.errcode !== 0) {\n throw new Error(`Upload failed ${data.errcode}: ${data.errmsg}`);\n }\n\n if (data.url?.startsWith(\"http://\")) {\n data.url = data.url.replace(/^http:\\/\\//i, \"https://\");\n }\n\n return data;\n}\n\nasync function uploadImagesInHtml(\n html: string,\n accessToken: string,\n baseDir: string,\n contentImages: ImageInfo[] = [],\n): Promise<{ html: string; firstMediaId: string; allMediaIds: string[] }> {\n const imgRegex = /]*\\ssrc=[\"']([^\"']+)[\"'][^>]*>/gi;\n const matches = [...html.matchAll(imgRegex)];\n\n if (matches.length === 0 && contentImages.length === 0) {\n return { html, firstMediaId: \"\", allMediaIds: [] };\n }\n\n let firstMediaId = \"\";\n let updatedHtml = html;\n const allMediaIds: string[] = [];\n const uploadedBySource = new Map();\n\n for (const match of matches) {\n const [fullTag, src] = match;\n if (!src) continue;\n\n if (src.startsWith(\"https://mmbiz.qpic.cn\")) {\n if (!firstMediaId) {\n firstMediaId = src;\n }\n continue;\n }\n\n const localPathMatch = fullTag.match(/data-local-path=[\"']([^\"']+)[\"']/);\n const imagePath = localPathMatch ? localPathMatch[1]! : src;\n\n console.error(`[wechat-api] Uploading image: ${imagePath}`);\n try {\n let resp = uploadedBySource.get(imagePath);\n if (!resp) {\n resp = await uploadImage(imagePath, accessToken, baseDir);\n uploadedBySource.set(imagePath, resp);\n }\n const newTag = fullTag\n .replace(/\\ssrc=[\"'][^\"']+[\"']/, ` src=\"${resp.url}\"`)\n .replace(/\\sdata-local-path=[\"'][^\"']+[\"']/, \"\");\n updatedHtml = updatedHtml.replace(fullTag, newTag);\n allMediaIds.push(resp.media_id);\n if (!firstMediaId) {\n firstMediaId = resp.media_id;\n }\n } catch (err) {\n console.error(`[wechat-api] Failed to upload ${imagePath}:`, err);\n }\n }\n\n for (const image of contentImages) {\n if (!updatedHtml.includes(image.placeholder)) continue;\n\n const imagePath = image.localPath || image.originalPath;\n console.error(`[wechat-api] Uploading placeholder image: ${imagePath}`);\n\n try {\n let resp = uploadedBySource.get(imagePath);\n if (!resp) {\n resp = await uploadImage(imagePath, accessToken, baseDir);\n uploadedBySource.set(imagePath, resp);\n }\n\n const replacementTag = ``;\n updatedHtml = replaceAllPlaceholders(updatedHtml, image.placeholder, replacementTag);\n allMediaIds.push(resp.media_id);\n if (!firstMediaId) {\n firstMediaId = resp.media_id;\n }\n } catch (err) {\n console.error(`[wechat-api] Failed to upload placeholder ${image.placeholder}:`, err);\n }\n }\n\n return { html: updatedHtml, firstMediaId, allMediaIds };\n}\n\nasync function publishToDraft(\n options: ArticleOptions,\n accessToken: string\n): Promise {\n const url = `${DRAFT_URL}?access_token=${accessToken}`;\n\n let article: Record;\n\n const noc = options.needOpenComment ?? 1;\n const ofcc = options.onlyFansCanComment ?? 0;\n\n if (options.articleType === \"newspic\") {\n if (!options.imageMediaIds || options.imageMediaIds.length === 0) {\n throw new Error(\"newspic requires at least one image\");\n }\n article = {\n article_type: \"newspic\",\n title: options.title,\n content: options.content,\n need_open_comment: noc,\n only_fans_can_comment: ofcc,\n image_info: {\n image_list: options.imageMediaIds.map(id => ({ image_media_id: id })),\n },\n };\n if (options.author) article.author = options.author;\n } else {\n article = {\n article_type: \"news\",\n title: options.title,\n content: options.content,\n thumb_media_id: options.thumbMediaId,\n need_open_comment: noc,\n only_fans_can_comment: ofcc,\n };\n if (options.author) article.author = options.author;\n if (options.digest) article.digest = options.digest;\n }\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ articles: [article] }),\n });\n\n const data = await res.json() as PublishResponse;\n if (data.errcode && data.errcode !== 0) {\n throw new Error(`Publish failed ${data.errcode}: ${data.errmsg}`);\n }\n\n return data;\n}\n\nfunction parseFrontmatter(content: string): { frontmatter: Record; body: string } {\n const match = content.match(/^\\s*---\\r?\\n([\\s\\S]*?)\\r?\\n---\\r?\\n?([\\s\\S]*)$/);\n if (!match) return { frontmatter: {}, body: content };\n\n const frontmatter: Record = {};\n const lines = match[1]!.split(\"\\n\");\n for (const line of lines) {\n const colonIdx = line.indexOf(\":\");\n if (colonIdx > 0) {\n const key = line.slice(0, colonIdx).trim();\n let value = line.slice(colonIdx + 1).trim();\n if ((value.startsWith('\"') && value.endsWith('\"')) ||\n (value.startsWith(\"'\") && value.endsWith(\"'\"))) {\n value = value.slice(1, -1);\n }\n frontmatter[key] = value;\n }\n }\n\n return { frontmatter, body: match[2]! };\n}\n\nfunction renderMarkdownWithPlaceholders(\n markdownPath: string,\n theme: string = \"default\",\n color?: string,\n citeStatus: boolean = true,\n title?: string,\n): MarkdownRenderResult {\n const __filename = fileURLToPath(import.meta.url);\n const __dirname = path.dirname(__filename);\n const mdToWechatScript = path.join(__dirname, \"md-to-wechat.ts\");\n const baseDir = path.dirname(markdownPath);\n\n const args = [\"-y\", \"bun\", mdToWechatScript, markdownPath];\n if (title) args.push(\"--title\", title);\n if (theme) args.push(\"--theme\", theme);\n if (color) args.push(\"--color\", color);\n if (!citeStatus) args.push(\"--no-cite\");\n\n console.error(`[wechat-api] Rendering markdown with placeholders via md-to-wechat: ${theme}${color ? `, color: ${color}` : \"\"}, citeStatus: ${citeStatus}`);\n const result = spawnSync(\"npx\", args, {\n stdio: [\"inherit\", \"pipe\", \"pipe\"],\n cwd: baseDir,\n });\n\n if (result.status !== 0) {\n const stderr = result.stderr?.toString() || \"\";\n throw new Error(`Markdown placeholder render failed: ${stderr}`);\n }\n\n const stdout = result.stdout?.toString() || \"\";\n return JSON.parse(stdout) as MarkdownRenderResult;\n}\n\nfunction replaceAllPlaceholders(html: string, placeholder: string, replacement: string): string {\n const escapedPlaceholder = placeholder.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n return html.replace(new RegExp(escapedPlaceholder, \"g\"), replacement);\n}\n\nfunction extractHtmlContent(htmlPath: string): string {\n const html = fs.readFileSync(htmlPath, \"utf-8\");\n const match = html.match(/
([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n if (match) {\n return match[1]!.trim();\n }\n const bodyMatch = html.match(/]*>([\\s\\S]*?)<\\/body>/i);\n return bodyMatch ? bodyMatch[1]!.trim() : html;\n}\n\nfunction printUsage(): never {\n console.log(`Publish article to WeChat Official Account draft using API\n\nUsage:\n npx -y bun wechat-api.ts [options]\n\nArguments:\n file Markdown (.md) or HTML (.html) file\n\nOptions:\n --type Article type: news (文章, default) or newspic (图文)\n --title Override title\n --author <name> Author name (max 16 chars)\n --summary <text> Article summary/digest (max 128 chars)\n --theme <name> Theme name for markdown (default, grace, simple, modern). Default: default\n --color <name|hex> Primary color (blue, green, vermilion, etc. or hex)\n --cover <path> Cover image path (local or URL)\n --account <alias> Select account by alias (for multi-account setups)\n --no-cite Disable bottom citations for ordinary external links in markdown mode\n --dry-run Parse and render only, don't publish\n --help Show this help\n\nFrontmatter Fields (markdown):\n title Article title\n author Author name\n digest/summary Article summary\n coverImage/featureImage/cover/image Cover image path\n\nComments:\n Comments are enabled by default, open to all users.\n\nEnvironment Variables:\n WECHAT_APP_ID WeChat App ID\n WECHAT_APP_SECRET WeChat App Secret\n\nConfig File Locations (in priority order):\n 1. Environment variables\n 2. <cwd>/.baoyu-skills/.env\n 3. ~/.baoyu-skills/.env\n\nExample:\n npx -y bun wechat-api.ts article.md\n npx -y bun wechat-api.ts article.md --theme grace --cover cover.png\n npx -y bun wechat-api.ts article.md --author \"Author Name\" --summary \"Brief intro\"\n npx -y bun wechat-api.ts article.html --title \"My Article\"\n npx -y bun wechat-api.ts images/ --type newspic --title \"Photo Album\"\n npx -y bun wechat-api.ts article.md --dry-run\n npx -y bun wechat-api.ts article.md --no-cite\n`);\n process.exit(0);\n}\n\ninterface CliArgs {\n filePath: string;\n isHtml: boolean;\n articleType: ArticleType;\n title?: string;\n author?: string;\n summary?: string;\n theme: string;\n color?: string;\n cover?: string;\n account?: string;\n citeStatus: boolean;\n dryRun: boolean;\n}\n\nfunction parseArgs(argv: string[]): CliArgs {\n if (argv.length === 0 || argv.includes(\"--help\") || argv.includes(\"-h\")) {\n printUsage();\n }\n\n const args: CliArgs = {\n filePath: \"\",\n isHtml: false,\n articleType: \"news\",\n theme: \"default\",\n citeStatus: true,\n dryRun: false,\n };\n\n for (let i = 0; i < argv.length; i++) {\n const arg = argv[i]!;\n if (arg === \"--type\" && argv[i + 1]) {\n const t = argv[++i]!.toLowerCase();\n if (t === \"news\" || t === \"newspic\") {\n args.articleType = t;\n }\n } else if (arg === \"--title\" && argv[i + 1]) {\n args.title = argv[++i];\n } else if (arg === \"--author\" && argv[i + 1]) {\n args.author = argv[++i];\n } else if (arg === \"--summary\" && argv[i + 1]) {\n args.summary = argv[++i];\n } else if (arg === \"--theme\" && argv[i + 1]) {\n args.theme = argv[++i]!;\n } else if (arg === \"--color\" && argv[i + 1]) {\n args.color = argv[++i];\n } else if (arg === \"--cover\" && argv[i + 1]) {\n args.cover = argv[++i];\n } else if (arg === \"--account\" && argv[i + 1]) {\n args.account = argv[++i];\n } else if (arg === \"--cite\") {\n args.citeStatus = true;\n } else if (arg === \"--no-cite\") {\n args.citeStatus = false;\n } else if (arg === \"--dry-run\") {\n args.dryRun = true;\n } else if (arg.startsWith(\"--\") && argv[i + 1] && !argv[i + 1]!.startsWith(\"-\")) {\n i++;\n } else if (!arg.startsWith(\"-\")) {\n args.filePath = arg;\n }\n }\n\n if (!args.filePath) {\n console.error(\"Error: File path required\");\n process.exit(1);\n }\n\n args.isHtml = args.filePath.toLowerCase().endsWith(\".html\");\n\n return args;\n}\n\nfunction extractHtmlTitle(html: string): string {\n const titleMatch = html.match(/<title>([^<]+)<\\/title>/i);\n if (titleMatch) return titleMatch[1]!;\n const h1Match = html.match(/<h1[^>]*>([^<]+)<\\/h1>/i);\n if (h1Match) return h1Match[1]!.replace(/<[^>]+>/g, \"\").trim();\n return \"\";\n}\n\nasync function main(): Promise<void> {\n const args = parseArgs(process.argv.slice(2));\n\n const filePath = path.resolve(args.filePath);\n if (!fs.existsSync(filePath)) {\n console.error(`Error: File not found: ${filePath}`);\n process.exit(1);\n }\n\n const baseDir = path.dirname(filePath);\n let title = args.title || \"\";\n let author = args.author || \"\";\n let digest = args.summary || \"\";\n let htmlPath: string;\n let htmlContent: string;\n let frontmatter: Record<string, string> = {};\n let contentImages: ImageInfo[] = [];\n\n if (args.isHtml) {\n htmlPath = filePath;\n htmlContent = extractHtmlContent(htmlPath);\n const mdPath = filePath.replace(/\\.html$/i, \".md\");\n if (fs.existsSync(mdPath)) {\n const mdContent = fs.readFileSync(mdPath, \"utf-8\");\n const parsed = parseFrontmatter(mdContent);\n frontmatter = parsed.frontmatter;\n if (!title && frontmatter.title) title = frontmatter.title;\n if (!author) author = frontmatter.author || \"\";\n if (!digest) digest = frontmatter.digest || frontmatter.summary || frontmatter.description || \"\";\n }\n if (!title) {\n title = extractHtmlTitle(fs.readFileSync(htmlPath, \"utf-8\"));\n }\n console.error(`[wechat-api] Using HTML file: ${htmlPath}`);\n } else {\n const content = fs.readFileSync(filePath, \"utf-8\");\n const parsed = parseFrontmatter(content);\n frontmatter = parsed.frontmatter;\n const body = parsed.body;\n\n title = title || frontmatter.title || \"\";\n if (!title) {\n const h1Match = body.match(/^#\\s+(.+)$/m);\n if (h1Match) title = h1Match[1]!;\n }\n if (!author) author = frontmatter.author || \"\";\n if (!digest) digest = frontmatter.digest || frontmatter.summary || frontmatter.description || \"\";\n\n console.error(`[wechat-api] Theme: ${args.theme}${args.color ? `, color: ${args.color}` : \"\"}, citeStatus: ${args.citeStatus}`);\n const rendered = renderMarkdownWithPlaceholders(filePath, args.theme, args.color, args.citeStatus, args.title);\n htmlPath = rendered.htmlPath;\n contentImages = rendered.contentImages;\n if (!title) title = rendered.title;\n if (!author) author = rendered.author;\n if (!digest) digest = rendered.summary;\n console.error(`[wechat-api] HTML generated: ${htmlPath}`);\n console.error(`[wechat-api] Placeholder images: ${contentImages.length}`);\n htmlContent = extractHtmlContent(htmlPath);\n }\n\n if (!title) {\n console.error(\"Error: No title found. Provide via --title, frontmatter, or <title> tag.\");\n process.exit(1);\n }\n\n if (digest && digest.length > 120) {\n const truncated = digest.slice(0, 117);\n const lastPunct = Math.max(truncated.lastIndexOf(\"。\"), truncated.lastIndexOf(\",\"), truncated.lastIndexOf(\";\"), truncated.lastIndexOf(\"、\"));\n digest = lastPunct > 80 ? truncated.slice(0, lastPunct + 1) : truncated + \"...\";\n console.error(`[wechat-api] Digest truncated to ${digest.length} chars`);\n }\n\n console.error(`[wechat-api] Title: ${title}`);\n if (author) console.error(`[wechat-api] Author: ${author}`);\n if (digest) console.error(`[wechat-api] Digest: ${digest.slice(0, 50)}...`);\n console.error(`[wechat-api] Type: ${args.articleType}`);\n\n const extConfig = loadWechatExtendConfig();\n const resolved = resolveAccount(extConfig, args.account);\n if (resolved.name) console.error(`[wechat-api] Account: ${resolved.name} (${resolved.alias})`);\n\n if (!author && resolved.default_author) author = resolved.default_author;\n\n if (args.dryRun) {\n console.log(JSON.stringify({\n articleType: args.articleType,\n title,\n author: author || undefined,\n digest: digest || undefined,\n htmlPath,\n contentLength: htmlContent.length,\n placeholderImageCount: contentImages.length || undefined,\n account: resolved.alias || undefined,\n }, null, 2));\n return;\n }\n\n const creds = loadCredentials(resolved);\n console.error(\"[wechat-api] Fetching access token...\");\n const accessToken = await fetchAccessToken(creds.appId, creds.appSecret);\n\n console.error(\"[wechat-api] Uploading images...\");\n const { html: processedHtml, firstMediaId, allMediaIds } = await uploadImagesInHtml(\n htmlContent,\n accessToken,\n baseDir,\n contentImages,\n );\n htmlContent = processedHtml;\n\n let thumbMediaId = \"\";\n const rawCoverPath = args.cover ||\n frontmatter.coverImage ||\n frontmatter.featureImage ||\n frontmatter.cover ||\n frontmatter.image;\n const coverPath = rawCoverPath && !path.isAbsolute(rawCoverPath) && args.cover\n ? path.resolve(process.cwd(), rawCoverPath)\n : rawCoverPath;\n\n if (coverPath) {\n console.error(`[wechat-api] Uploading cover: ${coverPath}`);\n const coverResp = await uploadImage(coverPath, accessToken, baseDir);\n thumbMediaId = coverResp.media_id;\n } else if (firstMediaId) {\n if (firstMediaId.startsWith(\"https://\")) {\n console.error(`[wechat-api] Uploading first image as cover: ${firstMediaId}`);\n const coverResp = await uploadImage(firstMediaId, accessToken, baseDir);\n thumbMediaId = coverResp.media_id;\n } else {\n thumbMediaId = firstMediaId;\n }\n }\n\n if (args.articleType === \"news\" && !thumbMediaId) {\n console.error(\"Error: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\");\n process.exit(1);\n }\n\n if (args.articleType === \"newspic\" && allMediaIds.length === 0) {\n console.error(\"Error: newspic requires at least one image in content.\");\n process.exit(1);\n }\n\n console.error(\"[wechat-api] Publishing to draft...\");\n const result = await publishToDraft({\n title,\n author: author || undefined,\n digest: digest || undefined,\n content: htmlContent,\n thumbMediaId,\n articleType: args.articleType,\n imageMediaIds: args.articleType === \"newspic\" ? allMediaIds : undefined,\n needOpenComment: resolved.need_open_comment,\n onlyFansCanComment: resolved.only_fans_can_comment,\n }, accessToken);\n\n console.log(JSON.stringify({\n success: true,\n media_id: result.media_id,\n title,\n articleType: args.articleType,\n }, null, 2));\n\n console.error(`[wechat-api] Published successfully! media_id: ${result.media_id}`);\n}\n\nawait main().catch((err) => {\n console.error(`Error: ${err instanceof Error ? err.message : String(err)}`);\n process.exit(1);\n});\n"}],"isError":false,"timestamp":1778464735802},{"role":"toolResult","toolCallId":"call_01_rSwsKrUVZIH7iX2bOmgX4614","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\n\"\"\"将 Markdown 转换为 HTML,处理前端元数据 (front-matter)\"\"\"\n\nimport sys\nimport re\nimport markdown\n\ndef strip_frontmatter(text):\n \"\"\"去掉 YAML front-matter (--- ... ---),返回 (标题行号偏移, 纯markdown内容)\"\"\"\n lines = text.split('\\n')\n if lines and lines[0].strip() == '---':\n end = -1\n for i in range(1, len(lines)):\n if lines[i].strip() == '---':\n end = i\n break\n if end > 0:\n # 去掉 front-matter\n new_lines = lines[end+1:]\n # 如果去掉前导空行\n while new_lines and new_lines[0].strip() == '':\n new_lines = new_lines[1:]\n return '\\n'.join(new_lines)\n return text\n\ndef extract_title(md_text):\n \"\"\"从 markdown 中提取第一个 # 标题\"\"\"\n for line in md_text.split('\\n'):\n if line.startswith('# '):\n return line[2:].strip()\n return None\n\ndef md_to_html(md_text):\n \"\"\"转换 markdown 为完整 HTML\"\"\"\n # 转换为 HTML\n html = markdown.markdown(\n md_text,\n extensions=['extra', 'codehilite', 'toc'],\n output_format='html5'\n )\n return html\n\ndef main():\n import argparse\n \n parser = argparse.ArgumentParser(description='Convert Markdown to HTML for Z-Blog/WordPress')\n parser.add_argument('input', help='Input markdown file')\n parser.add_argument('--output', '-o', help='Output HTML file (default: stdout)')\n parser.add_argument('--title-only', action='store_true', help='Only extract title')\n \n args = parser.parse_args()\n \n with open(args.input, 'r', encoding='utf-8') as f:\n raw = f.read()\n \n # 去掉 front-matter\n md_text = strip_frontmatter(raw)\n \n if args.title_only:\n title = extract_title(md_text)\n if title:\n print(title)\n return\n \n title = extract_title(md_text)\n \n # 去掉第一个 # 标题行(html中不再重复)\n body_lines = md_text.split('\\n')\n if body_lines and body_lines[0].startswith('# '):\n body_lines = body_lines[1:]\n body_md = '\\n'.join(body_lines).strip()\n \n html_body = md_to_html(body_md)\n \n # 构建完整 HTML\n full_html = f\"\"\"<h1>{title}</h1>\n{html_body}\n\"\"\"\n \n if args.output:\n with open(args.output, 'w', encoding='utf-8') as f:\n f.write(full_html)\n print(f'HTML 已保存到: {args.output}', file=sys.stderr)\n print(f'标题: {title}', file=sys.stderr)\n else:\n print(full_html)\n\nif __name__ == '__main__':\n main()\n"}],"isError":false,"timestamp":1778464735802},{"role":"assistant","content":[{"type":"text","text":"Now let me check the wechat-extend-config to understand credential loading:"},{"type":"toolCall","id":"call_00_Fy8vs4OIeT2m5QRZpGy79168","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6692,"output":94,"cacheRead":14080,"cacheWrite":0,"totalTokens":20866,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464735804,"responseId":"a01affcd-c400-4281-a206-13c29032f9e6"},{"role":"toolResult","toolCallId":"call_00_Fy8vs4OIeT2m5QRZpGy79168","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":38,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464738310},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_7FEb65f9qMNB9UVhUFZW2821","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":46,"output":74,"cacheRead":20864,"cacheWrite":0,"totalTokens":20984,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464738311,"responseId":"72fce4d5-3572-4fd6-b1b6-f36b7e6790fa"},{"role":"toolResult","toolCallId":"call_00_7FEb65f9qMNB9UVhUFZW2821","toolName":"read","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport os from \"node:os\";\n\nexport interface WechatAccount {\n name: string;\n alias: string;\n default?: boolean;\n default_publish_method?: string;\n default_author?: string;\n need_open_comment?: number;\n only_fans_can_comment?: number;\n app_id?: string;\n app_secret?: string;\n chrome_profile_path?: string;\n}\n\nexport interface WechatExtendConfig {\n default_theme?: string;\n default_color?: string;\n default_publish_method?: string;\n default_author?: string;\n need_open_comment?: number;\n only_fans_can_comment?: number;\n chrome_profile_path?: string;\n accounts?: WechatAccount[];\n}\n\nexport interface ResolvedAccount {\n name?: string;\n alias?: string;\n default_publish_method?: string;\n default_author?: string;\n need_open_comment: number;\n only_fans_can_comment: number;\n app_id?: string;\n app_secret?: string;\n chrome_profile_path?: string;\n}\n\nfunction stripQuotes(s: string): string {\n return s.replace(/^['\"]|['\"]$/g, \"\");\n}\n\nfunction toBool01(v: string): number {\n return v === \"1\" || v === \"true\" ? 1 : 0;\n}\n\nfunction parseWechatExtend(content: string): WechatExtendConfig {\n const config: WechatExtendConfig = {};\n const lines = content.split(\"\\n\");\n let inAccounts = false;\n let current: Record<string, string> | null = null;\n const rawAccounts: Record<string, string>[] = [];\n\n for (const raw of lines) {\n const trimmed = raw.trim();\n if (!trimmed || trimmed.startsWith(\"#\")) continue;\n\n if (trimmed === \"accounts:\") {\n inAccounts = true;\n continue;\n }\n\n if (inAccounts) {\n const listMatch = raw.match(/^\\s+-\\s+(.+)$/);\n if (listMatch) {\n if (current) rawAccounts.push(current);\n current = {};\n const kv = listMatch[1]!;\n const ci = kv.indexOf(\":\");\n if (ci > 0) {\n current[kv.slice(0, ci).trim()] = stripQuotes(kv.slice(ci + 1).trim());\n }\n continue;\n }\n\n if (current && /^\\s{2,}/.test(raw) && !trimmed.startsWith(\"-\")) {\n const ci = trimmed.indexOf(\":\");\n if (ci > 0) {\n current[trimmed.slice(0, ci).trim()] = stripQuotes(trimmed.slice(ci + 1).trim());\n }\n continue;\n }\n\n if (!/^\\s/.test(raw)) {\n if (current) rawAccounts.push(current);\n current = null;\n inAccounts = false;\n } else {\n continue;\n }\n }\n\n const ci = trimmed.indexOf(\":\");\n if (ci < 0) continue;\n const key = trimmed.slice(0, ci).trim();\n const val = stripQuotes(trimmed.slice(ci + 1).trim());\n if (val === \"null\" || val === \"\") continue;\n\n switch (key) {\n case \"default_theme\": config.default_theme = val; break;\n case \"default_color\": config.default_color = val; break;\n case \"default_publish_method\": config.default_publish_method = val; break;\n case \"default_author\": config.default_author = val; break;\n case \"need_open_comment\": config.need_open_comment = toBool01(val); break;\n case \"only_fans_can_comment\": config.only_fans_can_comment = toBool01(val); break;\n case \"chrome_profile_path\": config.chrome_profile_path = val; break;\n }\n }\n\n if (current) rawAccounts.push(current);\n\n if (rawAccounts.length > 0) {\n config.accounts = rawAccounts.map(a => ({\n name: a.name || \"\",\n alias: a.alias || \"\",\n default: a.default === \"true\" || a.default === \"1\",\n default_publish_method: a.default_publish_method || undefined,\n default_author: a.default_author || undefined,\n need_open_comment: a.need_open_comment ? toBool01(a.need_open_comment) : undefined,\n only_fans_can_comment: a.only_fans_can_comment ? toBool01(a.only_fans_can_comment) : undefined,\n app_id: a.app_id || undefined,\n app_secret: a.app_secret || undefined,\n chrome_profile_path: a.chrome_profile_path || undefined,\n }));\n }\n\n return config;\n}\n\nexport function loadWechatExtendConfig(): WechatExtendConfig {\n const paths = [\n path.join(process.cwd(), \".baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"),\n path.join(\n process.env.XDG_CONFIG_HOME || path.join(os.homedir(), \".config\"),\n \"baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"\n ),\n path.join(os.homedir(), \".baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"),\n ];\n for (const p of paths) {\n try {\n const content = fs.readFileSync(p, \"utf-8\");\n return parseWechatExtend(content);\n } catch {\n continue;\n }\n }\n return {};\n}\n\nfunction selectAccount(config: WechatExtendConfig, alias?: string): WechatAccount | undefined {\n if (!config.accounts || config.accounts.length === 0) return undefined;\n if (alias) return config.accounts.find(a => a.alias === alias);\n if (config.accounts.length === 1) return config.accounts[0];\n return config.accounts.find(a => a.default);\n}\n\nexport function resolveAccount(config: WechatExtendConfig, alias?: string): ResolvedAccount {\n const acct = selectAccount(config, alias);\n return {\n name: acct?.name,\n alias: acct?.alias,\n default_publish_method: acct?.default_publish_method ?? config.default_publish_method,\n default_author: acct?.default_author ?? config.default_author,\n need_open_comment: acct?.need_open_comment ?? config.need_open_comment ?? 1,\n only_fans_can_comment: acct?.only_fans_can_comment ?? config.only_fans_can_comment ?? 0,\n app_id: acct?.app_id,\n app_secret: acct?.app_secret,\n chrome_profile_path: acct?.chrome_profile_path ?? config.chrome_profile_path,\n };\n}\n\nfunction loadEnvFile(envPath: string): Record<string, string> {\n const env: Record<string, string> = {};\n if (!fs.existsSync(envPath)) return env;\n const content = fs.readFileSync(envPath, \"utf-8\");\n for (const line of content.split(\"\\n\")) {\n const trimmed = line.trim();\n if (!trimmed || trimmed.startsWith(\"#\")) continue;\n const eqIdx = trimmed.indexOf(\"=\");\n if (eqIdx > 0) {\n const key = trimmed.slice(0, eqIdx).trim();\n let value = trimmed.slice(eqIdx + 1).trim();\n if ((value.startsWith('\"') && value.endsWith('\"')) ||\n (value.startsWith(\"'\") && value.endsWith(\"'\"))) {\n value = value.slice(1, -1);\n }\n env[key] = value;\n }\n }\n return env;\n}\n\nfunction aliasToEnvKey(alias: string): string {\n return alias.toUpperCase().replace(/-/g, \"_\");\n}\n\nexport function loadCredentials(account?: ResolvedAccount): { appId: string; appSecret: string } {\n if (account?.app_id && account?.app_secret) {\n return { appId: account.app_id, appSecret: account.app_secret };\n }\n\n const cwdEnvPath = path.join(process.cwd(), \".baoyu-skills\", \".env\");\n const homeEnvPath = path.join(os.homedir(), \".baoyu-skills\", \".env\");\n const cwdEnv = loadEnvFile(cwdEnvPath);\n const homeEnv = loadEnvFile(homeEnvPath);\n\n const prefix = account?.alias ? `WECHAT_${aliasToEnvKey(account.alias)}_` : \"\";\n\n let appId = \"\";\n let appSecret = \"\";\n\n if (prefix) {\n appId = process.env[`${prefix}APP_ID`]\n || cwdEnv[`${prefix}APP_ID`]\n || homeEnv[`${prefix}APP_ID`]\n || \"\";\n appSecret = process.env[`${prefix}APP_SECRET`]\n || cwdEnv[`${prefix}APP_SECRET`]\n || homeEnv[`${prefix}APP_SECRET`]\n || \"\";\n }\n\n if (!appId) {\n appId = process.env.WECHAT_APP_ID || cwdEnv.WECHAT_APP_ID || homeEnv.WECHAT_APP_ID || \"\";\n }\n if (!appSecret) {\n appSecret = process.env.WECHAT_APP_SECRET || cwdEnv.WECHAT_APP_SECRET || homeEnv.WECHAT_APP_SECRET || \"\";\n }\n\n if (!appId || !appSecret) {\n const hint = account?.alias ? ` (account: ${account.alias})` : \"\";\n throw new Error(\n `Missing WECHAT_APP_ID or WECHAT_APP_SECRET${hint}.\\n` +\n \"Set via EXTEND.md account config, environment variables, or .baoyu-skills/.env file.\"\n );\n }\n\n return { appId, appSecret };\n}\n\nexport function listAccounts(config: WechatExtendConfig): string[] {\n return (config.accounts || []).map(a => a.alias);\n}\n"}],"isError":false,"timestamp":1778464740064},{"role":"assistant","content":[{"type":"text","text":"Now I understand the system. The wechat-api.ts can load credentials from EXTEND.md account config, environment variables, or .env file. Since the task says to use the provided APP_ID and APP_SECRET directly, I'll pass them as environment variables.\n\nLet me start with **Task 1: 公众号发布**. I'll set the env vars and run the command:"},{"type":"toolCall","id":"call_00_GqBx3cU4dsQrqauoAVIT5050","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts \"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md\" --theme default --color blue --author \"ai张三疯\" --cover \"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\" 2>&1","timeout":120,"yieldMs":30000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2354,"output":319,"cacheRead":20864,"cacheWrite":0,"totalTokens":23537,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464740065,"responseId":"846dbe4e-2e7c-487b-a5c6-701cdb46ccbb"},{"role":"toolResult","toolCallId":"call_00_GqBx3cU4dsQrqauoAVIT5050","toolName":"exec","content":[{"type":"text","text":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-FUg1km/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Res...\n[wechat-api] Type: news\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F\",\n \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F"}],"details":{"status":"completed","exitCode":0,"durationMs":8021,"aggregated":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-FUg1km/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Res...\n[wechat-api] Type: news\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F\",\n \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464753222},{"role":"assistant","content":[{"type":"text","text":"公众号发布成功!现在验证草稿箱:"},{"type":"toolCall","id":"call_00_ukdTcCRWMsRrfQzOXGRa2115","name":"exec","arguments":{"command":"curl -s \"https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid=wx88b0cf376e0386c4&secret=b2d47ee298204c28cf82549d2798192f\" | python3 -c \"import sys,json; d=json.load(sys.stdin); print(d.get('access_token','ERROR: '+d.get('errmsg','')))\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":503,"output":148,"cacheRead":23424,"cacheWrite":0,"totalTokens":24075,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464753224,"responseId":"63e374ad-cbab-4a34-9613-4f2bb7e7528b"},{"role":"toolResult","toolCallId":"call_00_ukdTcCRWMsRrfQzOXGRa2115","toolName":"exec","content":[{"type":"text","text":"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDOd1Oz3s76-HzOHtiEJc-JIoYBEjABAJMP"}],"details":{"status":"completed","exitCode":0,"durationMs":586,"aggregated":"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDOd1Oz3s76-HzOHtiEJc-JIoYBEjABAJMP","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464756819},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_O3THewcAJYqWyqVWbWq57464","name":"exec","arguments":{"command":"ACCESS_TOKEN=\"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDOd1Oz3s76-HzOHtiEJc-JIoYBEjABAJMP\"\ncurl -s \"https://api.weixin.qq.com/cgi-bin/draft/get?access_token=${ACCESS_TOKEN}\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"media_id\":\"imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F\"}' | python3 -m json.tool"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":112,"output":233,"cacheRead":24064,"cacheWrite":0,"totalTokens":24409,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464756820,"responseId":"06710d87-adbb-4f04-925b-6e0b7a038bc0"},{"role":"toolResult","toolCallId":"call_00_O3THewcAJYqWyqVWbWq57464","toolName":"exec","content":[{"type":"text","text":"{\n \"news_item\": [\n {\n \"title\": \"\\u5f00\\u6e90AI Agent\\u300cHermes\\u300d\\u767b\\u9876\\u5168\\u7403AI\\u5e94\\u7528\\u6392\\u884c\\u699c\\uff1a\\u81ea\\u8fdb\\u5316\\u624d\\u662f\\u672a\\u6765\",\n \"author\": \"ai\\u5f20\\u4e09\\u75af\",\n \"digest\": \"\\u8fd9\\u4e0d\\u662f\\u67d0\\u5bb6\\u5927\\u5382\\u7684API\\u8c03\\u7528\\u91cf\\uff0c\\u4e5f\\u4e0d\\u662f\\u95ed\\u6e90\\u5de8\\u5934\\u7684\\u5185\\u90e8\\u6d88\\u8017\\u2014\\u2014\\u8fd9\\u662f\\u4e00\\u4e2a\\u5f00\\u6e90\\u9879\\u76ee\\u7684\\u6210\\u7ee9\\u5355\\u3002Nous Research \\u65d7\\u4e0b\\u7684\\u5f00\\u6e90\\u81ea\\u8fdb\\u5316 Agent\\u300cHermes\\u300d\\uff0c\\u65e5\\u524d\\u4ee5\\u5355\\u65e5 271B Token \\u7684\\u8c03\\u7528\\u91cf\\u767b\\u9876 OpenRouter \\u5168\\u7403\\u5e94...\",\n \"content\": \"<section class=\\\"container\\\" style=\\\"font-family: -apple-system-font,BlinkMacSystemFont, Helvetica Neue, PingFang SC, Hiragino Sans GB , Microsoft YaHei UI , Microsoft YaHei ,Arial,sans-serif; font-size: 16px; line-height: 1.75; text-align: left;\\\"><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f; margin-top: 0 !important;\\\">2710\\u4ebf Token\\uff0c\\u5355\\u65e5\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u8fd9\\u4e0d\\u662f\\u67d0\\u5bb6\\u5927\\u5382\\u7684API\\u8c03\\u7528\\u91cf\\uff0c\\u4e5f\\u4e0d\\u662f\\u95ed\\u6e90\\u5de8\\u5934\\u7684\\u5185\\u90e8\\u6d88\\u8017\\u2014\\u2014\\u8fd9\\u662f\\u4e00\\u4e2a\\u5f00\\u6e90\\u9879\\u76ee\\u7684\\u6210\\u7ee9\\u5355\\u3002Nous Research \\u65d7\\u4e0b\\u7684\\u5f00\\u6e90\\u81ea\\u8fdb\\u5316 Agent\\u300cHermes\\u300d\\uff0c\\u65e5\\u524d\\u4ee5\\u5355\\u65e5 271B Token \\u7684\\u8c03\\u7528\\u91cf\\u767b\\u9876 OpenRouter \\u5168\\u7403\\u5e94\\u7528 Token \\u6d88\\u8017\\u6392\\u884c\\u699c\\uff0c\\u628a OpenClaw\\u3001Kilo Code\\u3001Claude Code \\u7b49\\u4e00\\u4f17\\u660e\\u661f\\u9879\\u76ee\\u7529\\u5728\\u8eab\\u540e\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u66f4\\u8ba9\\u4eba\\u73a9\\u5473\\u7684\\u662f\\uff0cHermes \\u672c\\u6708\\u8c03\\u7528\\u91cf\\u6392\\u540d\\u524d\\u4e94\\u7684\\u6a21\\u578b\\u5206\\u522b\\u662f\\uff1a\\u5c0f\\u7c73 MiMo-V2-Pro\\u3001MiniMax M2.7\\u3001\\u82f1\\u4f1f\\u8fbe Nemotron 3 Super\\u3001\\u9636\\u8dc3 Step 3.5 Flash\\u3001\\u817e\\u8baf Hy3 preview\\u2014\\u2014\\u6ca1\\u6709\\u4e00\\u4e2a\\u6765\\u81ea OpenAI \\u6216 Anthropic\\u3002\\u5168\\u7403\\u5f00\\u53d1\\u8005\\u6b63\\u5728\\u7528\\u5b9e\\u9645\\u884c\\u52a8\\u6295\\u7968\\uff0c\\u800c\\u7968\\u9009\\u7684\\u7ed3\\u679c\\u662f\\u4e2a\\u5f00\\u6e90 Agent\\u3002</p><h2 class=\\\"h2\\\" data-heading=\\\"true\\\" style=\\\" display: table; padding: 0 0.2em; margin: 4em auto 2em; color: #fff; background: #0F4C81; font-weight: bold; text-align: center; \\\">\\u4e3a\\u4ec0\\u4e48\\u662f Hermes\\uff1f</h2><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">AI Agent \\u8d5b\\u9053\\u62e5\\u6324\\u5df2\\u4e0d\\u662f\\u65b0\\u95fb\\u3002\\u4ece AutoGPT \\u5230 Devin\\uff0c\\u4ece Claude Code \\u5230\\u5404\\u79cd Copilot\\uff0c\\u53eb\\u5f97\\u4e0a\\u540d\\u5b57\\u7684 Agent \\u9879\\u76ee\\u5c11\\u8bf4\\u51e0\\u5341\\u4e2a\\u3002Hermes \\u51ed\\u4ec0\\u4e48\\u6740\\u51fa\\u91cd\\u56f4\\uff1f</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u7b54\\u6848\\u85cf\\u5728\\u4e24\\u4e2a\\u5173\\u952e\\u8bcd\\u91cc\\uff1a<strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u6301\\u4e45\\u8bb0\\u5fc6</strong>\\u4e0e<strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u81ea\\u6211\\u5b66\\u4e60\\u673a\\u5236</strong>\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u5927\\u591a\\u6570 Agent \\u662f "\\u4e00\\u6b21\\u6027" 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style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">Hermes \\u7684 GitHub \\u661f\\u6807\\u5df2\\u7ecf\\u7a81\\u7834 14 \\u4e07\\u3002\\u8fd9\\u4e2a\\u6570\\u5b57\\u672c\\u8eab\\u5c31\\u80fd\\u8bf4\\u660e\\u95ee\\u9898\\u2014\\u2014\\u793e\\u533a\\u70ed\\u5ea6\\u4e0d\\u662f\\u82b1\\u94b1\\u80fd\\u4e70\\u6765\\u7684\\uff0c\\u5b83\\u662f\\u5f00\\u53d1\\u8005\\u771f\\u5b9e\\u9700\\u6c42\\u7684\\u6620\\u5c04\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u8bf4\\u51e0\\u70b9\\u52a1\\u5b9e\\u7684\\u5224\\u65ad\\uff1a</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">Agent \\u7684\\u53ef\\u6210\\u957f\\u6027\\u662f\\u4e0b\\u4e00\\u573a\\u4e89\\u593a\\u6218\\u7684\\u6838\\u5fc3\\u3002</strong> "\\u5f00\\u7bb1\\u5373\\u7528"\\u5df2\\u7ecf\\u4e0d\\u591f\\u4e86\\uff0c\\u7528\\u6237\\u8981\\u7684\\u662f"\\u8d8a\\u7528\\u8d8a\\u597d\\u7528"\\u3002\\u4efb\\u4f55 AI \\u4ea7\\u54c1\\uff0c\\u5982\\u679c\\u4e0b\\u4e00\\u6b21\\u4f7f\\u7528\\u548c\\u7b2c\\u4e00\\u6b21\\u4f7f\\u7528\\u6ca1\\u6709\\u4efb\\u4f55\\u533a\\u522b\\uff0c\\u5c31\\u53ef\\u80fd\\u5728\\u4e00\\u4e24\\u5e74\\u5185\\u88ab\\u6709\\u8bb0\\u5fc6\\u3001\\u80fd\\u5b66\\u4e60\\u7684 Agent \\u6dd8\\u6c70\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u5f00\\u6e90\\u6b63\\u5728\\u91cd\\u65b0\\u5b9a\\u4e49 AI \\u7684\\u4ef7\\u503c\\u5206\\u5e03\\u3002</strong> \\u95ed\\u6e90\\u6a21\\u578b\\u7684\\u4ef7\\u503c\\u5728\\u88ab\\u5f00\\u6e90\\u5feb\\u901f\\u538b\\u7f29\\u3002\\u6a21\\u578b\\u8d8a\\u6765\\u8d8a\\u50cf commodity\\uff08\\u5546\\u54c1\\uff09\\uff0c\\u800c\\u6570\\u636e\\u3001\\u8bb0\\u5fc6\\u548c\\u4e2a\\u6027\\u5316\\u7684 Agent \\u4f53\\u9a8c\\u624d\\u662f\\u771f\\u6b63\\u7684\\u58c1\\u5792\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u9002\\u914d\\u6bd4\\u6027\\u80fd\\u66f4\\u91cd\\u8981\\u3002</strong> Hermes \\u4e4b\\u6240\\u4ee5\\u80fd\\u51b2\\u4e0a\\u699c\\u9996\\uff0c\\u4e0d\\u662f\\u56e0\\u4e3a\\u5b83\\u7684\\u5e95\\u5c42\\u6a21\\u578b\\u6700\\u5f3a\\uff0c\\u800c\\u662f\\u56e0\\u4e3a\\u5b83\\u8ba9\\u5f00\\u53d1\\u8005\\u80fd\\u7528\\u6700\\u65b9\\u4fbf\\u7684\\u65b9\\u5f0f\\u63a5\\u5165\\u3002\\u5bf9\\u4e8e\\u521b\\u4e1a\\u56e2\\u961f\\u6765\\u8bf4\\uff0c\\u4e0e\\u5176\\u82b1\\u5927\\u529b\\u6c14\\u8bad\\u7ec3\\u4e00\\u4e2a\\u66f4\\u597d\\u7684\\u6a21\\u578b\\uff0c\\u4e0d\\u5982\\u628a\\u7cbe\\u529b\\u82b1\\u5728\\u8ba9\\u73b0\\u6709\\u6a21\\u578b\\u8dd1\\u5f97\\u66f4\\u806a\\u660e\\u3001\\u66f4\\u987a\\u624b\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">GitHub \\u4e0a 14 \\u4e07\\u661f\\u6807\\u4e0d\\u662f\\u7ec8\\u70b9\\u3002271B \\u5355\\u65e5 Token \\u4e5f\\u4e0d\\u662f\\u3002Hermes \\u4e4b\\u6240\\u4ee5\\u5f15\\u4eba\\u5173\\u6ce8\\uff0c\\u4e0d\\u662f\\u56e0\\u4e3a\\u5b83\\u7684\\u6280\\u672f\\u6709\\u591a\\u8d85\\u524d\\uff0c\\u800c\\u662f\\u56e0\\u4e3a\\u5b83\\u6307\\u5411\\u4e86\\u4e00\\u4e2a\\u66f4\\u672c\\u8d28\\u7684\\u95ee\\u9898\\uff1aAI \\u4ea7\\u54c1\\u7684\\u6838\\u5fc3\\u7ade\\u4e89\\u529b\\u5230\\u5e95\\u662f\\u4ec0\\u4e48\\uff1f</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u7b54\\u6848\\u6216\\u8bb8\\u662f\\u2014\\u2014\\u5b83\\u4e0d\\u662f\\u6a21\\u578b\\u53c2\\u6570\\uff0c\\u4e0d\\u662f\\u63a8\\u7406\\u901f\\u5ea6\\uff0c\\u4e0d\\u662f\\u4f60\\u7528\\u4e86\\u54ea\\u79cd\\u67b6\\u6784\\u3002\\u800c\\u662f\\u5b83\\u80fd\\u4e0d\\u80fd\\u5bf9\\u4f60\\u771f\\u6b63\\u6709\\u7528\\uff0c\\u5e76\\u4e14\\u8d8a\\u6765\\u8d8a\\u6709\\u7528\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">Hermes \\u7528\\u6570\\u636e\\u8bc1\\u660e\\u4e86\\u4e00\\u4ef6\\u4e8b\\uff1a<strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u7528\\u6237\\u4f1a\\u7528\\u811a\\u6295\\u7968\\u3002\\u800c\\u4ed6\\u4eec\\u6295\\u7684\\u65b9\\u5411\\uff0c\\u662f\\u771f\\u6b63\\u80fd\\u5b66\\u4e60\\u548c\\u6210\\u957f\\u7684\\u4ea7\\u54c1\\u3002</strong></p>\\n \\n \\n \\n \\n \\n </section>\",\n \"content_source_url\": \"\",\n \"thumb_media_id\": \"imBwNhfy9Uv4ps2luE5gfhFaqqPVXK35kQrtzgBgD3h76qYcSByYcE3qW9yIMA7f\",\n \"show_cover_pic\": 0,\n \"url\": \"http://mp.weixin.qq.com/s?__biz=MjM5NTEyMjg0MA==&tempkey=MTM3M19pS2NJK1VaSm51NHhnZFllSjJIR2ZrWEwtUkJyaTVVdmY4TlR0azN5djNHcHNwTXNtX0d3cUNmRTN6N1NKdXVGellGdnNzRUo2S3lZemNidlRKcFk4SUl3c1FRTlFMbWxsaHlkUnNzc2cwZDhtcE9SVVBVM1hhOGZsWC1hQzhmbHQ1VDBlQjJ5amF1bVBwYWIxRjJJZW1MN2U2RlVvbkxOZzJQaU5Rfn4%3D&chksm=3d0967e20a7eeef48bd19f896cb2c8c5913315682076bf3492aff2adc9dc99c5daaa8a2cdb56#rd\",\n \"thumb_url\": \"http://mmbiz.qpic.cn/mmbiz_jpg/eoYh6VVsibTszBCmIg6VI8zzygknauOxJt4zVuMkJfnS72kAxk1SHuErwVUYwOxWoEJmxn7aGVZJZS7an6wHO7ibYsKf9ITtWtgBhw2VOEFoU/0?wx_fmt=jpeg\",\n \"need_open_comment\": 1,\n \"only_fans_can_comment\": 0,\n \"article_type\": \"news\"\n }\n ],\n \"create_time\": 1778464714,\n \"update_time\": 1778464715\n}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464761373},{"role":"assistant","content":[{"type":"text","text":"✅ **公众号发布成功并验证完毕!** 草稿箱中存在该文章,media_id 已确认。\n\n现在进行 **Task 2:网站发布(创业思维网 weixinsiwei.com)**\n\n首先用 md2html.py 转换 Markdown 为 HTML:"},{"type":"toolCall","id":"call_00_PcojvA4PLCkyQmSwxTWP5180","name":"exec","arguments":{"command":"python3 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py \"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md\" -o /tmp/hermes-article.html 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":8380,"output":174,"cacheRead":24320,"cacheWrite":0,"totalTokens":32874,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464761375,"responseId":"4e407a48-a46f-4d97-a38e-ee527bcef655"},{"role":"toolResult","toolCallId":"call_00_PcojvA4PLCkyQmSwxTWP5180","toolName":"exec","content":[{"type":"text","text":"HTML 已保存到: /tmp/hermes-article.html\n标题: 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来"}],"details":{"status":"completed","exitCode":0,"durationMs":170,"aggregated":"HTML 已保存到: /tmp/hermes-article.html\n标题: 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464765247},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_zKFx3G4lgT8Qa2FpIJRM6976","name":"read","arguments":{"path":"/tmp/hermes-article.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":153,"output":48,"cacheRead":32768,"cacheWrite":0,"totalTokens":32969,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464765249,"responseId":"c7978019-0bfe-4069-bde1-b74e8bdf7bc0"},{"role":"toolResult","toolCallId":"call_00_zKFx3G4lgT8Qa2FpIJRM6976","toolName":"read","content":[{"type":"text","text":"<h1>开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来</h1>\n<p>2710亿 Token,单日。</p>\n<p>这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」,日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜,把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。</p>\n<p>更让人玩味的是,Hermes 本月调用量排名前五的模型分别是:小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票,而票选的结果是个开源 Agent。</p>\n<h2 id=\"hermes\">为什么是 Hermes?</h2>\n<p>AI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin,从 Claude Code 到各种 Copilot,叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围?</p>\n<p>答案藏在两个关键词里:<strong>持久记忆</strong>与<strong>自我学习机制</strong>。</p>\n<p>大多数 Agent 是 \"一次性\" 的——你给一个任务,它执行完就忘了,下次对话一切重来。Hermes 的设计哲学完全不同:它保留了对话的连续性,能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文,下次对话时它会主动复用这些经验。</p>\n<p>听起来简单?实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。</p>\n<p>更关键的是自我学习。Hermes 不满足于被动执行指令,它能从每次交互中提炼模式,调整自己的行为策略。今天回答不好的问题,明天会更好。这不是靠工程师改代码,而是 Agent 自己在运行时完成的自适应进化。</p>\n<p>正是这套\"越用越聪明\"的机制,让开发者愿意把大量任务交给它。271B Token 的背后,不是营销造势,是实打实的用户粘性。</p>\n<h2 id=\"271b-token\">271B Token 意味着什么</h2>\n<p>OpenRouter 是全球最大的多模型聚合平台之一,Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事,有几个值得拆解的信号:</p>\n<p><strong>第一,开源 Agent 已具备规模化商用能力。</strong> 271B Token 不是实验室数据,是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\",它们正在吞噬商业产品的用户量。</p>\n<p><strong>第二,模型多元化不再是口号。</strong> Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\",现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。</p>\n<p><strong>第三,Agent 层的价值在放大。</strong> 当模型能力趋同,竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用,谁就掌握了下半场的门票。Hermes 证明了:Agent 框架可以成为比底层模型更强的护城河。</p>\n<h2 id=\"ai\">对国内 AI 生态的直接影响</h2>\n<p>Hermes 的崛起对国内 AI 生态有一个非常具体的意义:它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。</p>\n<p>这就意味着,开发者可以在国内的基础设施上跑 Hermes,用国产模型作为推理引擎,落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署,这一整套链路已经跑通。</p>\n<p>对于正在做 AI 应用落地的团队来说,这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台,构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架,也不依赖海外模型服务,技术路径非常清晰。</p>\n<h2 id=\"14-github\">14 万 GitHub 星标背后的启示</h2>\n<p>Hermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的,它是开发者真实需求的映射。</p>\n<p>说几点务实的判断:</p>\n<p><strong>Agent 的可成长性是下一场争夺战的核心。</strong> \"开箱即用\"已经不够了,用户要的是\"越用越好用\"。任何 AI 产品,如果下一次使用和第一次使用没有任何区别,就可能在一两年内被有记忆、能学习的 Agent 淘汰。</p>\n<p><strong>开源正在重新定义 AI 的价值分布。</strong> 闭源模型的价值在被开源快速压缩。模型越来越像 commodity(商品),而数据、记忆和个性化的 Agent 体验才是真正的壁垒。</p>\n<p><strong>适配比性能更重要。</strong> Hermes 之所以能冲上榜首,不是因为它的底层模型最强,而是因为它让开发者能用最方便的方式接入。对于创业团队来说,与其花大力气训练一个更好的模型,不如把精力花在让现有模型跑得更聪明、更顺手。</p>\n<p>GitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注,不是因为它的技术有多超前,而是因为它指向了一个更本质的问题:AI 产品的核心竞争力到底是什么?</p>\n<p>答案或许是——它不是模型参数,不是推理速度,不是你用了哪种架构。而是它能不能对你真正有用,并且越来越有用。</p>\n<p>Hermes 用数据证明了一件事:<strong>用户会用脚投票。而他们投的方向,是真正能学习和成长的产品。</strong></p>\n"}],"isError":false,"timestamp":1778464766736},{"role":"assistant","content":[{"type":"text","text":"HTML 转换完成。现在用 XML-RPC 方式发布到 Z-Blog。我需要手动构造 XML 来调用 metaWeblog.newPost:"},{"type":"toolCall","id":"call_00_Z9bxGSgXe89ORN2ApK3q3827","name":"exec","arguments":{"command":"cat > /tmp/hermes-post.py << 'PYEOF'\nimport xmlrpc.client\nimport sys\n\nurl = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nusername = \"admin\"\npassword = \"135269zxj\"\nblog_id = \"68ba1ff10060dd54f1e399b8e332bdba\"\n\n# Read HTML content\nwith open(\"/tmp/hermes-article.html\", \"r\", encoding=\"utf-8\") as f:\n html_content = f.read()\n\n# metaWeblog.newPost\nserver = xmlrpc.client.ServerProxy(url)\n\n# First, test connection by getting recent posts\ntry:\n result = server.metaWeblog.getRecentPosts(blog_id, username, password, 3)\n print(f\"测试连接成功!最近文章数: {len(result)}\")\n for post in result:\n print(f\" - {post.get('title', 'N/A')} (id: {post.get('postid', 'N/A')})\")\nexcept Exception as e:\n print(f\"测试连接失败: {e}\")\n sys.exit(1)\n\n# Now publish\ncategories = [\"AI科技\"]\npost_data = {\n \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\",\n \"description\": html_content,\n \"categories\": categories,\n \"dateCreated\": None, # now\n}\n\ntry:\n post_id = server.metaWeblog.newPost(blog_id, username, password, post_data, True) # True = publish\n print(f\"\\n✅ 文章发布成功!Post ID: {post_id}\")\n \n # Verify\n posts = server.metaWeblog.getRecentPosts(blog_id, username, password, 5)\n print(\"\\n最近发布的文章:\")\n for p in posts:\n if p.get(\"postid\") == post_id:\n print(f\" ✅ {p.get('title')} (id: {p.get('postid')}) - 已发布!\")\n else:\n print(f\" - {p.get('title')} (id: {p.get('postid')})\")\n \n print(f\"\\n✅ 验证完成!\")\n \nexcept Exception as e:\n print(f\"❌ 发布失败: {e}\")\n sys.exit(1)\nPYEOF\npython3 /tmp/hermes-post.py 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1415,"output":606,"cacheRead":32896,"cacheWrite":0,"totalTokens":34917,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464766738,"responseId":"a667c943-3c60-47f3-94cd-12083f58a4c2"},{"role":"toolResult","toolCallId":"call_00_Z9bxGSgXe89ORN2ApK3q3827","toolName":"exec","content":[{"type":"text","text":"测试连接成功!最近文章数: 3\n - Claude Code团队正在做的事:让AI输出HTML而非Markdown (id: 9559)\n - 真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n - 从国药特医的经营范围,看大健康行业的三大趋势 (id: 9554)\n❌ 发布失败: cannot marshal None unless allow_none is enabled\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":670,"aggregated":"测试连接成功!最近文章数: 3\n - Claude Code团队正在做的事:让AI输出HTML而非Markdown (id: 9559)\n - 真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n - 从国药特医的经营范围,看大健康行业的三大趋势 (id: 9554)\n❌ 发布失败: cannot marshal None unless allow_none is enabled\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464778388},{"role":"assistant","content":[{"type":"text","text":"小小修复:"},{"type":"toolCall","id":"call_00_gzmu6mroRmTOEu8KX7Sk1088","name":"exec","arguments":{"command":"cat > /tmp/hermes-post.py << 'PYEOF'\nimport xmlrpc.client\nimport sys\nfrom datetime import datetime\n\nurl = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nusername = \"admin\"\npassword = \"135269zxj\"\nblog_id = \"68ba1ff10060dd54f1e399b8e332bdba\"\n\n# Read HTML content\nwith open(\"/tmp/hermes-article.html\", \"r\", encoding=\"utf-8\") as f:\n html_content = f.read()\n\n# metaWeblog.newPost\nserver = xmlrpc.client.ServerProxy(url, allow_none=True)\n\n# Now publish\ncategories = [\"AI科技\"]\npost_data = {\n \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\",\n \"description\": html_content,\n \"categories\": categories,\n \"dateCreated\": datetime.now(),\n}\n\ntry:\n post_id = server.metaWeblog.newPost(blog_id, username, password, post_data, True) # True = publish\n print(f\"\\n✅ 文章发布成功!Post ID: {post_id}\")\n \n # Verify\n posts = server.metaWeblog.getRecentPosts(blog_id, username, password, 5)\n print(\"\\n最近发布的文章:\")\n found = False\n for p in posts:\n if p.get(\"postid\") == post_id:\n print(f\" ✅ {p.get('title')} (id: {p.get('postid')}) - 已发布!\")\n found = True\n else:\n print(f\" - {p.get('title')} (id: {p.get('postid')})\")\n \n if found:\n print(f\"\\n✅ 验证完成!文章确认成功发布\")\n else:\n print(f\"\\n⚠️ 新发布的文章 id={post_id} 未在最近列表中,可能需要检查\")\n \nexcept Exception as e:\n print(f\"❌ 发布失败: {e}\")\n import traceback\n traceback.print_exc()\n sys.exit(1)\nPYEOF\npython3 /tmp/hermes-post.py 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":225,"output":531,"cacheRead":34816,"cacheWrite":0,"totalTokens":35572,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464778390,"responseId":"d2ac81ef-f7d7-4a69-bc89-7bee7201de69"},{"role":"toolResult","toolCallId":"call_00_gzmu6mroRmTOEu8KX7Sk1088","toolName":"exec","content":[{"type":"text","text":"✅ 文章发布成功!Post ID: True\n\n最近发布的文章:\n - 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来 (id: 9560)\n - Claude Code团队正在做的事:让AI输出HTML而非Markdown (id: 9559)\n - 真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n - 从国药特医的经营范围,看大健康行业的三大趋势 (id: 9554)\n - 穿透股权看本质:国药特医(河南)和国药集团到底什么关系? (id: 9553)\n\n⚠️ 新发布的文章 id=True 未在最近列表中,可能需要检查"}],"details":{"status":"completed","exitCode":0,"durationMs":1158,"aggregated":"✅ 文章发布成功!Post ID: True\n\n最近发布的文章:\n - 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来 (id: 9560)\n - Claude Code团队正在做的事:让AI输出HTML而非Markdown (id: 9559)\n - 真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n - 从国药特医的经营范围,看大健康行业的三大趋势 (id: 9554)\n - 穿透股权看本质:国药特医(河南)和国药集团到底什么关系? (id: 9553)\n\n⚠️ 新发布的文章 id=True 未在最近列表中,可能需要检查","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464787837},{"role":"assistant","content":[{"type":"text","text":"The post was published (getRecentPosts shows it as \"id: 9560\"), but newPost returned `True` instead of the actual post ID. Let me verify by checking the website directly:"},{"type":"toolCall","id":"call_00_1MXhjEI1SLdCBFKkjdET6745","name":"exec","arguments":{"command":"curl -s \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\" \\\n -H \"Content-Type: text/xml\" \\\n -d '<?xml version=\"1.0\"?>\n<methodCall>\n <methodName>metaWeblog.getRecentPosts</methodName>\n <params>\n <param><value><string>68ba1ff10060dd54f1e399b8e332bdba</string></value></param>\n <param><value><string>admin</string></value></param>\n <param><value><string>135269zxj</string></value></param>\n <param><value><int>5</int></value></param>\n </params>\n</methodCall>' | python3 -c \"\nimport sys, xml.etree.ElementTree as ET\ndata = sys.stdin.read()\nroot = ET.fromstring(data)\nfor member in root.iter('member'):\n name = member.find('name')\n value = member.find('value')\n if name is not None and value is not None:\n n = name.text\n v = value.find('string')\n v4 = value.find('int')\n if v is not None:\n print(f'{n}: {v.text}')\n elif v4 is not None:\n print(f'{n}: {v4.text}')\n\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":294,"output":371,"cacheRead":35456,"cacheWrite":0,"totalTokens":36121,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464787838,"responseId":"f2fa5c58-8032-4641-99b6-7d6db9d47a58"},{"role":"toolResult","toolCallId":"call_00_1MXhjEI1SLdCBFKkjdET6745","toolName":"exec","content":[{"type":"text","text":"title: 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\ndescription: <h1>开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来</h1>\n<p>2710亿 Token,单日。</p>\n<p>这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」,日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜,把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。</p>\n<p>更让人玩味的是,Hermes 本月调用量排名前五的模型分别是:小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票,而票选的结果是个开源 Agent。</p>\n<h2 id=\"hermes\">为什么是 Hermes?</h2>\n<p>AI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin,从 Claude Code 到各种 Copilot,叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围?</p>\n<p>答案藏在两个关键词里:<strong>持久记忆</strong>与<strong>自我学习机制</strong>。</p>\n<p>大多数 Agent 是 \"一次性\" 的——你给一个任务,它执行完就忘了,下次对话一切重来。Hermes 的设计哲学完全不同:它保留了对话的连续性,能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文,下次对话时它会主动复用这些经验。</p>\n<p>听起来简单?实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。</p>\n<p>更关键的是自我学习。Hermes 不满足于被动执行指令,它能从每次交互中提炼模式,调整自己的行为策略。今天回答不好的问题,明天会更好。这不是靠工程师改代码,而是 Agent 自己在运行时完成的自适应进化。</p>\n<p>正是这套\"越用越聪明\"的机制,让开发者愿意把大量任务交给它。271B Token 的背后,不是营销造势,是实打实的用户粘性。</p>\n<h2 id=\"271b-token\">271B Token 意味着什么</h2>\n<p>OpenRouter 是全球最大的多模型聚合平台之一,Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事,有几个值得拆解的信号:</p>\n<p><strong>第一,开源 Agent 已具备规模化商用能力。</strong> 271B Token 不是实验室数据,是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\",它们正在吞噬商业产品的用户量。</p>\n<p><strong>第二,模型多元化不再是口号。</strong> Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\",现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。</p>\n<p><strong>第三,Agent 层的价值在放大。</strong> 当模型能力趋同,竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用,谁就掌握了下半场的门票。Hermes 证明了:Agent 框架可以成为比底层模型更强的护城河。</p>\n<h2 id=\"ai\">对国内 AI 生态的直接影响</h2>\n<p>Hermes 的崛起对国内 AI 生态有一个非常具体的意义:它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。</p>\n<p>这就意味着,开发者可以在国内的基础设施上跑 Hermes,用国产模型作为推理引擎,落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署,这一整套链路已经跑通。</p>\n<p>对于正在做 AI 应用落地的团队来说,这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台,构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架,也不依赖海外模型服务,技术路径非常清晰。</p>\n<h2 id=\"14-github\">14 万 GitHub 星标背后的启示</h2>\n<p>Hermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的,它是开发者真实需求的映射。</p>\n<p>说几点务实的判断:</p>\n<p><strong>Agent 的可成长性是下一场争夺战的核心。</strong> \"开箱即用\"已经不够了,用户要的是\"越用越好用\"。任何 AI 产品,如果下一次使用和第一次使用没有任何区别,就可能在一两年内被有记忆、能学习的 Agent 淘汰。</p>\n<p><strong>开源正在重新定义 AI 的价值分布。</strong> 闭源模型的价值在被开源快速压缩。模型越来越像 commodity(商品),而数据、记忆和个性化的 Agent 体验才是真正的壁垒。</p>\n<p><strong>适配比性能更重要。</strong> Hermes 之所以能冲上榜首,不是因为它的底层模型最强,而是因为它让开发者能用最方便的方式接入。对于创业团队来说,与其花大力气训练一个更好的模型,不如把精力花在让现有模型跑得更聪明、更顺手。</p>\n<p>GitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注,不是因为它的技术有多超前,而是因为它指向了一个更本质的问题:AI 产品的核心竞争力到底是什么?</p>\n<p>答案或许是——它不是模型参数,不是推理速度,不是你用了哪种架构。而是它能不能对你真正有用,并且越来越有用。</p>\n<p>Hermes 用数据证明了一件事:<strong>用户会用脚投票。而他们投的方向,是真正能学习和成长的产品。</strong></p>\n\npostid: 9560\nuserid: 1\nlink: https://weixinsiwei.com/?id=9560\npermaLink: https://weixinsiwei.com/?id=9560\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: Claude Code团队正在做的事:让AI输出HTML而非Markdown\ndescription: <h1>Claude Code团队正在做的事:让AI输出HTML而非Markdown</h1>\n<p>上周,Anthropic Claude Code团队的成员Thariq发了一条推文,引发了不小讨论——他说,AI的默认输出格式,应该从Markdown换成HTML。</p>\n<p>你可能会想:Markdown不是挺好的吗?简洁、易读、开发者都爱。但仔细想想Thariq的话,你会发现他说到痛处了。</p>\n<h2 id=\"markdown\">超百行Markdown,根本没法看</h2>\n<p>用过Claude Code的人都知道,当AI一次性输出数百行Markdown时,那种阅读体验极其糟糕。你得不停往下滚,找关键信息全靠翻。Markdown能做到的事太有限了——表格勉强能看,但基本没有样式,更别说交互。</p>\n<p>Thariq给出的方案很简单:用HTML替代Markdown作为AI的默认输出格式。</p>\n<p>HTML的优势不言而喻:</p>\n<ul>\n<li><strong>信息密度更高</strong>。同样的内容,HTML的视觉呈现让读者一眼能抓住重点</li>\n<li><strong>原生支持表格</strong>。再也不用忍受Markdown那蹩脚的表格语法</li>\n<li><strong>嵌入SVG和脚本</strong>。想做交互组件?HTML天然就支持</li>\n<li><strong>双向调参</strong>。输出一个带控件的页面,用户可以直接在上面调节参数、实时看到效果</li>\n<li><strong>链接分享</strong>。生成的HTML页面可以直接分享,不需要中间转换</li>\n</ul>\n<p>说白了,就是把AI输出从\"可读的文本\"升级成\"可交互的界面\"。</p>\n<p>Thariq也说,生成HTML的成本是Markdown的2-4倍。但他在实践中发现,HTML输出带来的参与感提升和阅读完成率远超Markdown。</p>\n<h2 id=\"mdhtml\">我自己的实践:从MD到HTML,再也不用走弯路</h2>\n<p>说实话,Thariq这个观点一出,我立马就共鸣了。因为在这件事上,我已经踩了不少坑。</p>\n<p>先说最简单的一个场景——写文章。你用Markdown写完内容,最终要发到公众号、发布到网站,哪一步不是先转成HTML?Markdown只是中间态,HTML才是终态。那为什么一开始不直接用HTML?</p>\n<p>更关键的场景是给别人交付内容。</p>\n<p>我经常用AI帮别人出方案——产品规划、运营策略、活动方案等等。一开始我都是输出Markdown文件分享过去。结果呢?</p>\n<ol>\n<li>对方打开MD文件,样式全乱</li>\n<li>要么不知道怎么打开,要么打开后就是一坨纯文本</li>\n<li>体验极差,方案的冲击力大打折扣</li>\n</ol>\n<p>后来我改成直接分享HTML。好一点,但对大多数人来说,你给一个HTML文件,对方还是疑惑:这要用什么打开?</p>\n<p>直到我做了一个工具——把MD转成HTML,然后用HTML一键导出长图。这个流程彻底解决了我交付的最后一公里问题。</p>\n<p><strong>最终的交付形式:长图。</strong></p>\n<p>为什么是长图?因为在手机上、在微信里,长图的阅读体验是最好的。点开即读,排版完美,还能转发分享。对内容接收方来说,没有门槛、没有工具依赖。</p>\n<p>这套流程下来,我反而走了一条跟Thariq反方向的路:</p>\n<ul>\n<li><strong>我出方案</strong>(AI产出逻辑内容)</li>\n<li><strong>我转HTML</strong>(美化排版、加样式)</li>\n<li><strong>我导出长图</strong>(最终交付物)</li>\n</ul>\n<p>Thariq说的是让AI直接输出HTML、让阅读方直接在HTML里交互。我这边的场景更接地气——最终交付形态是长图,但中间那个HTML的步骤救了整个流程的命。</p>\n<h2 id=\"ai\">AI交付的未来:输出格式本身就是产品的一部分</h2>\n<p>Thariq举了几个实际场景来说明HTML输出的价值:</p>\n<p><strong>产品规划</strong>:AI可以抓取多个需求源的数据,整合出一份带表格、图表的总览页面,所有信息一目了然。</p>\n<p><strong>代码审查</strong>:生成的HTML页面可以直接嵌入差异对比、性能数据可视化,审查者不需要切换工具。</p>\n<p><strong>设计原型</strong>:AI生成带交互控件的HTML原型,设计师直接在页面上调参数、看效果。</p>\n<p><strong>深度报告</strong>:多层信息结构、可折叠章节、内嵌图表,比一长串Markdown文本高到不知道哪里去。</p>\n<p><strong>定制编辑界面</strong>:每个人都可以有一个被AI定制过的、适合自己的阅读和编辑界面。</p>\n<p>看到这些场景,你会发现一个趋势:<strong>AI的输出格式,正在从\"内容载体\"变成\"产品\"本身</strong>。</p>\n<p>过去我们只关心AI生成的内容对不对,拿到内容之后自己去排版、去美化、去转换格式。现在不一样了——AI输出的格式、排版、交互,本身就是用户体验的一部分。</p>\n<p>对创业者来说,这里的信号很明确:<strong>谁能在\"AI输出体验\"上做到极致,谁就能在交付这件事上建立壁垒。</strong></p>\n<h2 id=\"_1\">工具链建议</h2>\n<p>如果你也想走这条路,分享几个实际用下来的建议:</p>\n<ol>\n<li><strong>别放弃Markdown,用Markdown写、用HTML展示</strong>。MD在内容编辑阶段的体验仍然是最好的。问题是展示阶段还在用MD就纯粹是偷懒了。</li>\n<li><strong>找个好用的HTML模板</strong>。不需要多复杂,几个CSS类就够用了,重点是有好的代码块样式、表格样式、响应式布局。</li>\n<li><strong>长图导出是关键能力</strong>。如果你的目标用户群在微信生态,长图几乎是唯一靠谱的分享格式。H5页面太重,链接打开率低,纯文本没质感。</li>\n<li><strong>考虑交互能力</strong>。对于To B、企业内部场景,纯HTML页面加上交互控件(筛选、排序、参数调节)能大幅提升接收方的参与度。</li>\n</ol>\n<h2 id=\"_2\">最后说一句</h2>\n<p>Thariq和他的团队在Claude Code上做的尝试,是AI行业很少有人认真对待的方向——输出体验本身的价值。</p>\n<p>Markdown是给开发者用的,HTML是给所有人用的。</p>\n<p>AI产出的东西,如果能从\"等你去加工\"变成\"拿到就能用\",这个转变本身,就是巨大的效率提升和用户体验飞跃。</p>\n<p>长图也好、交互页面也好、带控件的仪表盘也好——核心是同一件事:<strong>别让用户去适应AI的格式,让AI去适配用户习惯的消费方式。</strong></p>\n<p>谁先做到这一点,谁就抢到了下一轮AI应用的红利。</p>\n\npostid: 9559\nuserid: 1\nlink: https://weixinsiwei.com/?id=9559\npermaLink: https://weixinsiwei.com/?id=9559\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了\ndescription: <h1>真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了</h1>\n<p>身边越来越多人开始讨论AI,但聊的内容还停留在\"ChatGPT能不能替代人类\"\"Sora又出了什么震撼大片\"这类话题上。</p>\n<p>听起来都挺牛的。然后呢?</p>\n<p>然后就没有然后了。聊完继续苦哈哈地写公众号、登录不同后台发网站、半夜追热点赶稿子。</p>\n<p>但我观察到另一拨人,态度完全不同。他们不说话,甚至主动回避这个话题。你问他们最近用什么AI工具,他们的回答永远是\"没用啥\"或者\"随便试试\"。</p>\n<p>这帮人不吱声,不是因为不好用——是因为太好用了,说出来等于给自己培养竞争对手。</p>\n<p><strong>我花了三个月,终于搞清楚他们在干什么。</strong></p>\n<h2 id=\"ai\">他们用AI干了一件事:真正帮自己干活</h2>\n<p>先说一个最简单的场景。</p>\n<p>做公众号的人都知道,每天最痛苦的不是选题(虽然也挺痛苦),而是从选题到发布之间那一大串流程:</p>\n<p>看到素材 → 构思框架 → 查资料补细节 → 写成文章 → 找配图 → 排版 → 发公众号 → 同步到网站 → 多平台分发</p>\n<p>这一整套走下来,稍微认真点的文章,半天就没了。天天这样,专职运营都得崩溃,更别说大部分做号的人其实是身兼数职的创业者。</p>\n<p>第一批用龙虾(OpenClaw)的人,把这套流程砍成了三步:</p>\n<p><strong>第一步,看到好素材,直接转发给龙虾。</strong>\n<strong>第二步,龙虾自己把文章写出来,配好图,生成发布预览。</strong>\n<strong>第三步,你确认没问题,点个确认,文章就出现在公众号和网站上了。</strong></p>\n<p>你没看错。从素材到发布,中间那堆脏活累活——选题建议、文章撰写、图片生成、排版适配、多端同步——全是龙虾自己跑完的。</p>\n<p>以前一个人干半天的活,现在几分钟搞定。而且因为AI不需要睡觉,半夜刷到突发新闻,直接转发给龙虾,天亮前文章已经发好了。</p>\n<h2 id=\"_1\">为什么他们\"不吱声\"了?</h2>\n<p>答案其实很简单:<strong>闷声发财的人最怕被人知道发财方法。</strong></p>\n<p>我一个做本地生活号的朋友,之前每天花4-5个小时弄公众号,周末还要维护公司网站。用了龙虾之后,每天花在内容上的时间不超过40分钟。省下来的时间干嘛去了?做新的号、谈商务合作、研究变现路径。</p>\n<p>三个月做了三个号,流量翻了四倍。</p>\n<p>你让他出去分享经验?他说\"也没啥特别的,就坚持原创呗\"——这话你信吗?反正我信了,然后三个月后才发现他偷偷用了龙虾。</p>\n<p>这不是个例。在第一批用户的小圈子里,大家默契地形成了一个潜规则:<strong>聊龙虾可以,但别透露自己怎么用的。</strong></p>\n<p>不是因为怕平台封杀(龙虾是合规的)。而是因为在内容竞争这么卷的今天,效率就是壁垒。一个人用AI把生产速度提到你的十倍,他凭什么告诉你?</p>\n<h2 id=\"_2\">网站维护才是真正的高频苦活</h2>\n<p>聊公众号聊得多,是因为做号的人多。但其实龙虾在网站维护上,价值更大。</p>\n<p>很多创业者、小企业主都有自己的网站——产品页、博客、案例展示、合作伙伴专区……这些网站往往是几个平台并行,一个简单的更新公告,要登录三个后台,改三套模板,发三遍版本。</p>\n<p>以前我认识的一个老板,每次更新产品信息,要把文案发给助理 → 助理写成通稿 → 找设计师做配图 → 分别登录三个网站后台发布 → 检查排版是否错乱。一个简单的产品升级,折腾两天。</p>\n<p>现在呢?他直接把产品文档发给龙虾,说\"更新到网站群\"。<strong>龙虾自己读完文档、理解改动点、写成适合不同站点的文案、配好图、逐站发布。</strong></p>\n<p>他跟我说了一句话我印象特别深:</p>\n<blockquote>\n<p>\"用了龙虾之后我才意识到,我之前招了一个人干的活,其实不是人该干的。\"</p>\n</blockquote>\n<h2 id=\"ai_1\">边角料时间变现,才是AI的真金白银</h2>\n<p>还有一个特别有意思的使用场景——碎片时间的利用。</p>\n<p>每个人都刷手机吧?刷到好文章、好段子、有意思的数据——在心里点个赞,划过去,然后忘了。</p>\n<p>因为理由特别充分:这会儿在吃饭/在排队/在地铁上,就算看到了好素材,后面还得找电脑写文章、查资料、配图……太麻烦了,算了。</p>\n<p>龙虾改变的是这件事。<strong>你不需要马上干完所有活。你只需要把素材转发给龙虾,剩下的它会帮你处理。</strong></p>\n<p>\"看到好内容 → 转发 → 继续刷手机\",就这三步。</p>\n<p>过半小时你再看微信,龙虾已经把初稿写好了,配图方案也有了,就等你确认。你在地铁上划几下屏幕,审核、修改、确认发布。一篇好文章,诞生于蹲马桶和排队之间的碎片时间里。</p>\n<p>那个本地生活号的朋友跟我说,他80%的爆款文章都是这么来的。不是在工位上苦思冥想写出来的,而是刷手机时转发素材,利用边角料时间完成的。</p>\n<p><strong>这才是AI的真价值:不是替代人,而是让人在不改变习惯的前提下,凭空多出几个小时的产出。</strong></p>\n<h2 id=\"_3\">别等到你的对手也\"不吱声\"了</h2>\n<p>现在说回开头那个问题。</p>\n<p>为什么第一批用龙虾的人不吱声了?</p>\n<p>因为他们已经跑起来了,你没跟上。他们每天比你多生产几篇文章,多更新几次网站,多覆盖几个平台。一个月看不出差距,三个月是代差,半年就是降维打击。</p>\n<p>AI这件事,最大的坑不是选错了工具,而是选了工具之后,发现自己不知道怎么用起来。龙虾的价值不在于它用了什么大模型,而在于<strong>从素材到发布的全链路自动化</strong>,它真的帮你省了一个角色。</p>\n<p>你现在去问那批人:\"听说你在用龙虾?\"</p>\n<p>他们大概率会说:\"哦,随便试试。\"</p>\n<p>别信。</p>\n<hr>\n<p>想拥有同款龙虾?联系微信:tuikejiaolian</p>\n\npostid: 9556\nuserid: 1\nlink: https://weixinsiwei.com/?id=9556\npermaLink: https://weixinsiwei.com/?id=9556\nmt_keywords: 创业思维,AI应用,AI落地\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 从国药特医的经营范围,看大健康行业的三大趋势\ndescription: <h1>从国药特医的经营范围,看大健康行业的三大趋势</h1>\n<p>一家注册在郑州自贸区的公司,经营范围能告诉我们什么?如果仔细研究国药特医(河南)健康产业有限公司的经营范围列表,你会发现它几乎就是一本浓缩版的\"大健康行业趋势指南\"——从健康咨询到医疗美容,从特医食品到互联网销售,每一行经营范围背后都对应着一个正在快速增长的市场。</p>\n<h2 id=\"_1\">趋势一:从\"治病\"到\"治未病\"</h2>\n<p>国药特医(河南)的经营范围中,有几个关键词格外醒目:<strong>\"健康咨询服务\"、\"中医养生保健服务\"、\"保健食品(预包装)销售\"、\"中草药收购\"、\"农副产品销售\"</strong>。这些项目有一个共同的特点——它们都属于疾病预防和健康管理的范畴,而非传统的疾病治疗。</p>\n<p>这就是中国医疗健康行业正在经历的最深刻转型:从\"以治病为中心\"到\"以健康为中心\",也就是所谓的\"治未病\"理念。</p>\n<p><strong>市场驱动因素十分清晰:</strong></p>\n<p>一方面,人口老龄化加速。截至2025年底,中国60岁及以上人口已接近3亿,占总人口比例超过21%。老年人群对健康管理、慢病防控、中医保健的需求持续增长。中医养生、保健食品恰恰是这一人群的核心消费方向。</p>\n<p>另一方面,年轻一代的健康意识觉醒。数据显示,25-35岁人群在健康消费品上的支出增速已超过老年人群体。\"朋克养生\"成为网络热词——年轻人一边熬夜一边吃保健品,推动保健食品市场持续扩容。2024年中国保健食品市场规模已突破4000亿元,预计2026年将突破5000亿元。</p>\n<p><strong>国药特医的布局逻辑非常清晰:</strong> 健康咨询作为前端流量入口,保健食品和中药作为核心产品,中医养生保健服务作为高粘性的服务闭环。这家公司虽然没有大规模的制造工厂,但这一套\"咨询+产品+服务\"的组合,覆盖了健康管理的全流程。</p>\n<p>经营范围中还包含\"中医诊所服务(需备案后方可经营)\",这意味着未来这家公司可能直接开设中医诊所,将服务能力从线下的咨询进一步延伸到诊疗层面。这种从轻到重、从线上到线下的渐进式布局,正是当前大健康行业中\"健康管理公司\"的典型成长路径。</p>\n<h2 id=\"_2\">趋势二:医疗器械全链条覆盖</h2>\n<p>国药特医(河南)的经营范围中,关于医疗器械的部分占据了相当篇幅:</p>\n<blockquote>\n<p>一般项目:第一类医疗器械销售、第二类医疗器械销售、第一类医疗器械生产\n许可项目:第二类医疗器械经营、第三类医疗器械经营、第三类医疗器械生产</p>\n</blockquote>\n<p>从第一类到第三类,从生产到经营——这是一条完整的医疗器械产业链布局。</p>\n<p><strong>为什么这很重要?</strong></p>\n<p>首先,医疗器械是国产替代的主战场之一。近年来国家持续出台政策推动高端医疗器械国产化,包括集中采购、创新医疗器械加速审批等。从口罩、防护服等低值耗材(一类),到血压计、血糖仪等家用器械(二类),再到CT、核磁共振等大型设备(三类),国产替代正在各个层级推进。</p>\n<p>其次,医疗器械的利润率远高于药品。Bloomberg数据显示,全球医疗器械行业的平均毛利率在50%-65%之间,头部企业可达70%以上。而药品行业的毛利率普遍在30%-50%之间。</p>\n<p>第三,医疗器械覆盖生活场景的速度在加快。家用血压计、血糖仪、制氧机、呼吸机、康复器械等已从医院走向家庭。国药特医在郑州市中心设立运营中心,借助商都路的区位优势开展医疗器械销售,可以直接触达大量家庭用户和有康复需求的老年用户。</p>\n<p><strong>经营范围中\"一类生产\"和\"二三类的经营许可\"并存</strong>,说明国药特医(河南)很可能采用了\"轻生产、强流通\"的策略——一类低风险产品自行生产,二三类高壁垒产品通过渠道经营。这种策略既控制了合规成本,又保证了产品线的完整。</p>\n<h2 id=\"_3\">趋势三:互联网+大健康</h2>\n<p>经营范围中\"互联网销售\"和\"技术服务\"两个条目,暗示了这家公司在数字化方向上的布局意图。</p>\n<p>互联网医疗在过去几年经历了几轮政策松紧,但长期趋势是确定的。从在线问诊到电子处方流转,从药品O2O到慢病管理SaaS,互联网正在重塑医疗健康的服务形态。</p>\n<p><strong>关键数据值得关注:</strong></p>\n<p>中国在线医疗用户规模已突破3.5亿,占网民总数的30%以上。头部互联网医疗平台(如京东健康、阿里健康)的年度活跃用户均已超过1亿。但从渗透率来看,互联网医疗仅占整体医疗支出的约5%——在美国这一比例约为15%-20%,增长空间仍然巨大。</p>\n<p>对于国药特医(河南)来说,\"互联网销售\"指向的是保健食品、医疗器械、特医食品的线上零售渠道。在特医食品领域,由于目标人群分散(特殊疾病患者、术后恢复人群、老年群体),通过线上精准获客比线下铺货更高效。</p>\n<p>\"技术服务\"则可能指向更广泛的数字化布局——可能是为医疗机构提供的技术解决方案,也可能是面向C端的健康管理APP。</p>\n<h2 id=\"_4\">特医食品:一个独立的蓝海赛道</h2>\n<p>虽然特医食品被归类在保健食品的经营范围内,但它值得单独拿出来分析——因为它可能是国药特医(河南)的核心发力方向。</p>\n<p>特殊医学用途配方食品(FSMP),是针对进食受限、消化吸收障碍、代谢紊乱等特殊疾病状态人群的营养支持产品。这类产品介于药品和普通食品之间,具有明确的临床价值。</p>\n<p><strong>行业前景极为亮眼:</strong></p>\n<p>全球特医食品市场规模约为700亿元,中国占比较低但增速最快。行业内普遍预测,到2028年中国特医食品市场规模将达到300亿元以上。在政策层面,国家卫健委和市场监管总局持续优化审批流程,特医食品注册周期从过去的3-4年缩短至1-2年。</p>\n<p>国药系切入特医食品的优势在于渠道——三级医院的临床营养科是特医食品的核心终端,而国药系的药品流通网络与这些医院的合作早已建立。国药特医(河南)在自贸区的设立,可以利用进出口便利,引入海外成熟的特医食品品牌,同时在国内进行本地化生产和渠道建设。</p>\n<h2 id=\"_5\">三个趋势背后的共同逻辑</h2>\n<p>如果将三大趋势串联起来看,会发现它们共同指向一个方向:<strong>大健康行业的边界正在模糊和融合。</strong></p>\n<p>健康咨询与中医养生的融合——医疗从单次诊疗变成长期健康管理。\n医疗器械与互联网销售融合——硬件产品通过线上渠道触达更广的人群。\n特医食品与临床营养融合——食品越来越像药品,药品越来越强调营养支持。</p>\n<p>国药特医(河南)的经营范围,恰恰反映了这种融合趋势。它既不是传统的制药公司,也不是纯粹的零售企业,而是一家\"大健康服务集成商\"——用国药的品牌背书整合供应链,用互联网能力降低获客成本,用丰富的产品线覆盖客户从健康到亚健康再到疾病的全部需求。</p>\n<p>对于关注大健康赛道的创业者、投资者和从业者来说,国药特医(河南)的经营范围远非一份枯燥的工商登记文件。它是一份趋势地图,指向了中国大健康行业未来五年最重要的三个增长方向。</p>\n\npostid: 9554\nuserid: 1\nlink: https://weixinsiwei.com/?id=9554\npermaLink: https://weixinsiwei.com/?id=9554\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 穿透股权看本质:国药特医(河南)和国药集团到底什么关系?\ndescription: <h1>穿透股权看本质:国药特医(河南)和国药集团到底什么关系?</h1>\n<p>\"国药特医\"——当一家民营企业想要在名称中使用\"国药\"二字时,往往需要获得品牌授权或暗示着某种国资背景。但层层穿透后,\"国药\"二字的分量到底有多重?它与真正的国药集团之间,到底是血脉直系还是远亲?本文以国药特医(河南)健康产业有限公司为例,进行逐层股权穿透分析。</p>\n<h2 id=\"_1\">第一层:谁是国药特医(河南)的股东?</h2>\n<p>根据工商登记信息,国药特医(河南)健康产业有限公司由\"国药医养健康产业(海南)有限公司\"100%持股,法定代表人为聂磊。这是一级穿透,我们能看到的直接唯一股东。</p>\n<p>\"国药医养健康产业(海南)\",这个名字本身就带着鲜明的国药色彩。接下来我们要继续追问:这家海南公司又是谁的?</p>\n<h2 id=\"_2\">第二层:海南公司的双重持股结构</h2>\n<p>国药医养健康产业(海南)有限公司的股权结构并非单一的母公司全资控股,而是由两名股东共同持有:</p>\n<ul>\n<li>70%的股份由\"国药医养健康产业(杭州)有限公司\"持有;</li>\n<li>30%的股份由\"国药凯丽康(上海)企业发展有限公司\"持有。</li>\n</ul>\n<p>这里出现了一个值得注意的现象:海南公司没有选择单一股东100%持股,而是引入了两家股东。从比例来看,杭州公司是绝对控股方(70%),上海公司是重要参股方(30%)。这种结构意味着在实际决策中,杭州公司主导方向,但上海公司也有相当的制衡能力。</p>\n<h2 id=\"_3\">第三层:国药凯丽康再穿透</h2>\n<p>让我们沿着上海公司的线索继续向上穿透。</p>\n<p>国药凯丽康(上海)企业发展有限公司,由其名称中的\"国药\"二字和完整的股权记录来看,它被\"国药药材股份有限公司\"100%持股。</p>\n<p>而国药药材股份有限公司的股权结构中,25%的股份归属于\"中国中药有限公司\"——中国中药是国药集团的二级子公司。</p>\n<p>这里出现了整条穿透链上最关键的转折点:经过层层传递,国药药材与国药集团之间通过中国中药形成了25%的持股关联。国药集团层面,中国中药有限公司是其在中药板块的核心二级平台。</p>\n<h2 id=\"_4\">第四层:一段变更的历史</h2>\n<p>研究这家公司的股权沿革,还有一段容易被忽视的历史:在更早的时期,国药特医(河南)曾经被国药集团下属的子公司以100%持股的方式全资持有。但在后续的股权重组中,这一直接的股权关系被调整了,变成了现在我们看到的间接持股结构。</p>\n<p>这一变更很可能是国药系内部重组的结果。近年来,国药集团持续推进\"瘦身健体\",调整下属企业的组织架构和股权关系,将一些非核心业务进行剥离或下沉至次级平台。股权关系从\"直接持有\"变为\"间接持有\",并不意味着品牌关系的彻底断绝——实际上,在国药系内部,这种层级嵌套的股权安排非常普遍。</p>\n<h2 id=\"_5\">第五层:现状总结——到底什么关系?</h2>\n<p>让我们做一个完整的股权穿透路径总结:</p>\n<div class=\"codehilite\"><pre><span></span><code>国药集团\n └── 中国中药有限公司(国药集团二级公司,持有国药药材25%)\n └── 国药药材股份有限公司(100%控股国药凯丽康)\n └── 国药凯丽康(上海)(持有国药医养海南30%)\n └── 国药医养海南(100%控股国药特医河南)\n国药医养杭州(持有国药医养海南70%,其背后亦有国药关联)\n</code></pre></div>\n\n<p>从这条路径来看,国药特医(河南)和国药集团之间确实存在股权关联,但属于\"间接嵌套\"关系,而非直系血脉关系。这种关系在国资体系内最准确的表述是:<strong>国药特医(河南)的最终受益人可追溯到国药集团,中间经过了多层持股嵌套。</strong></p>\n<h2 id=\"_6\">\"国药\"二字的使用逻辑</h2>\n<p>\"国药\"作为品牌标识,在中国医药行业具有极高的品牌溢价。但在实际操作中,并非所有冠以\"国药\"之名的企业都和国药集团有直接的从属关系。</p>\n<p>在核心的一级子公司和主要二级子公司层面,国药集团对\"国药\"品牌的使用有较为严格的控制。但在更下层的孙公司、曾孙公司层面,品牌的使用相对灵活。只要存在股权关联(哪怕是间接关联),且获得了上一级股东的认可,就可以在商号中使用\"国药\"二字。</p>\n<p>这种品牌使用逻辑,在大型央企体系中并不罕见。中粮、华润、中化等央企体系内都存在着大量类似的\"远亲\"企业。这对于下级企业而言,是一种品牌势能的传导;对于上级集团来说,则可以在不占用核心品牌资源的前提下,让下级企业利用品牌影响力开拓市场。</p>\n<h2 id=\"_7\">对企业合作意味着什么?</h2>\n<p>对于和国药特医(河南)有合作意向的企业来说,客观看待这层股权关系非常重要。</p>\n<p><strong>正面来看:</strong> 能够通过层层穿透追溯到国药集团,说明这家企业通过了国资体系的合规审查,在业务资质、合规运营等方面有一定的制度保障。同时,虽然没有直接的集团资源倾斜,但在药品流通渠道、供应商资源、行业准入等方面,\"国药系\"内部确实存在一定程度的协同效应。</p>\n<p><strong>不过也需要理性看待:</strong> 多层持股意味着决策链条较长,国药集团层面不会直接干预或支持这家孙公司的日常运营。国药特医(河南)的独立经营能力、地方市场开拓能力,才是真正决定其商业价值的因素。\"国药\"二字是信任背书,但不是成功保证。</p>\n<h2 id=\"_8\">股权设计的战略启示</h2>\n<p>从更宏观的视角来看,国药特医(河南)的股权结构设计反映了一种典型的央企区域布局策略:</p>\n<ol>\n<li><strong>种子层设立</strong>,在最靠近市场的区域设立轻资产子公司;</li>\n<li><strong>中间层持股</strong>,采用两个及以上股东的共同持有,兼顾各方的利益和资源;</li>\n<li><strong>顶层穿透控制</strong>,通过多层间接持股锁定控制权,同时保持运营层面的灵活性。</li>\n</ol>\n<p>对于从事大健康领域创业或投资的读者而言,理解这种股权结构,有助于在面对\"国药系\"企业时快速判断其真实的品牌价值和资源能力——名字里带\"国药\"不代表直系血脉,但股权能穿到国药集团,至少说明它在这一体系中有属于自己的位置。</p>\n\npostid: 9553\nuserid: 1\nlink: https://weixinsiwei.com/?id=9553\npermaLink: https://weixinsiwei.com/?id=9553\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish"}],"details":{"status":"completed","exitCode":0,"durationMs":724,"aggregated":"title: 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来\ndescription: <h1>开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来</h1>\n<p>2710亿 Token,单日。</p>\n<p>这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」,日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜,把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。</p>\n<p>更让人玩味的是,Hermes 本月调用量排名前五的模型分别是:小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票,而票选的结果是个开源 Agent。</p>\n<h2 id=\"hermes\">为什么是 Hermes?</h2>\n<p>AI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin,从 Claude Code 到各种 Copilot,叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围?</p>\n<p>答案藏在两个关键词里:<strong>持久记忆</strong>与<strong>自我学习机制</strong>。</p>\n<p>大多数 Agent 是 \"一次性\" 的——你给一个任务,它执行完就忘了,下次对话一切重来。Hermes 的设计哲学完全不同:它保留了对话的连续性,能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文,下次对话时它会主动复用这些经验。</p>\n<p>听起来简单?实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。</p>\n<p>更关键的是自我学习。Hermes 不满足于被动执行指令,它能从每次交互中提炼模式,调整自己的行为策略。今天回答不好的问题,明天会更好。这不是靠工程师改代码,而是 Agent 自己在运行时完成的自适应进化。</p>\n<p>正是这套\"越用越聪明\"的机制,让开发者愿意把大量任务交给它。271B Token 的背后,不是营销造势,是实打实的用户粘性。</p>\n<h2 id=\"271b-token\">271B Token 意味着什么</h2>\n<p>OpenRouter 是全球最大的多模型聚合平台之一,Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事,有几个值得拆解的信号:</p>\n<p><strong>第一,开源 Agent 已具备规模化商用能力。</strong> 271B Token 不是实验室数据,是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\",它们正在吞噬商业产品的用户量。</p>\n<p><strong>第二,模型多元化不再是口号。</strong> Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\",现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。</p>\n<p><strong>第三,Agent 层的价值在放大。</strong> 当模型能力趋同,竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用,谁就掌握了下半场的门票。Hermes 证明了:Agent 框架可以成为比底层模型更强的护城河。</p>\n<h2 id=\"ai\">对国内 AI 生态的直接影响</h2>\n<p>Hermes 的崛起对国内 AI 生态有一个非常具体的意义:它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。</p>\n<p>这就意味着,开发者可以在国内的基础设施上跑 Hermes,用国产模型作为推理引擎,落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署,这一整套链路已经跑通。</p>\n<p>对于正在做 AI 应用落地的团队来说,这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台,构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架,也不依赖海外模型服务,技术路径非常清晰。</p>\n<h2 id=\"14-github\">14 万 GitHub 星标背后的启示</h2>\n<p>Hermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的,它是开发者真实需求的映射。</p>\n<p>说几点务实的判断:</p>\n<p><strong>Agent 的可成长性是下一场争夺战的核心。</strong> \"开箱即用\"已经不够了,用户要的是\"越用越好用\"。任何 AI 产品,如果下一次使用和第一次使用没有任何区别,就可能在一两年内被有记忆、能学习的 Agent 淘汰。</p>\n<p><strong>开源正在重新定义 AI 的价值分布。</strong> 闭源模型的价值在被开源快速压缩。模型越来越像 commodity(商品),而数据、记忆和个性化的 Agent 体验才是真正的壁垒。</p>\n<p><strong>适配比性能更重要。</strong> Hermes 之所以能冲上榜首,不是因为它的底层模型最强,而是因为它让开发者能用最方便的方式接入。对于创业团队来说,与其花大力气训练一个更好的模型,不如把精力花在让现有模型跑得更聪明、更顺手。</p>\n<p>GitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注,不是因为它的技术有多超前,而是因为它指向了一个更本质的问题:AI 产品的核心竞争力到底是什么?</p>\n<p>答案或许是——它不是模型参数,不是推理速度,不是你用了哪种架构。而是它能不能对你真正有用,并且越来越有用。</p>\n<p>Hermes 用数据证明了一件事:<strong>用户会用脚投票。而他们投的方向,是真正能学习和成长的产品。</strong></p>\n\npostid: 9560\nuserid: 1\nlink: https://weixinsiwei.com/?id=9560\npermaLink: https://weixinsiwei.com/?id=9560\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: Claude Code团队正在做的事:让AI输出HTML而非Markdown\ndescription: <h1>Claude Code团队正在做的事:让AI输出HTML而非Markdown</h1>\n<p>上周,Anthropic Claude Code团队的成员Thariq发了一条推文,引发了不小讨论——他说,AI的默认输出格式,应该从Markdown换成HTML。</p>\n<p>你可能会想:Markdown不是挺好的吗?简洁、易读、开发者都爱。但仔细想想Thariq的话,你会发现他说到痛处了。</p>\n<h2 id=\"markdown\">超百行Markdown,根本没法看</h2>\n<p>用过Claude Code的人都知道,当AI一次性输出数百行Markdown时,那种阅读体验极其糟糕。你得不停往下滚,找关键信息全靠翻。Markdown能做到的事太有限了——表格勉强能看,但基本没有样式,更别说交互。</p>\n<p>Thariq给出的方案很简单:用HTML替代Markdown作为AI的默认输出格式。</p>\n<p>HTML的优势不言而喻:</p>\n<ul>\n<li><strong>信息密度更高</strong>。同样的内容,HTML的视觉呈现让读者一眼能抓住重点</li>\n<li><strong>原生支持表格</strong>。再也不用忍受Markdown那蹩脚的表格语法</li>\n<li><strong>嵌入SVG和脚本</strong>。想做交互组件?HTML天然就支持</li>\n<li><strong>双向调参</strong>。输出一个带控件的页面,用户可以直接在上面调节参数、实时看到效果</li>\n<li><strong>链接分享</strong>。生成的HTML页面可以直接分享,不需要中间转换</li>\n</ul>\n<p>说白了,就是把AI输出从\"可读的文本\"升级成\"可交互的界面\"。</p>\n<p>Thariq也说,生成HTML的成本是Markdown的2-4倍。但他在实践中发现,HTML输出带来的参与感提升和阅读完成率远超Markdown。</p>\n<h2 id=\"mdhtml\">我自己的实践:从MD到HTML,再也不用走弯路</h2>\n<p>说实话,Thariq这个观点一出,我立马就共鸣了。因为在这件事上,我已经踩了不少坑。</p>\n<p>先说最简单的一个场景——写文章。你用Markdown写完内容,最终要发到公众号、发布到网站,哪一步不是先转成HTML?Markdown只是中间态,HTML才是终态。那为什么一开始不直接用HTML?</p>\n<p>更关键的场景是给别人交付内容。</p>\n<p>我经常用AI帮别人出方案——产品规划、运营策略、活动方案等等。一开始我都是输出Markdown文件分享过去。结果呢?</p>\n<ol>\n<li>对方打开MD文件,样式全乱</li>\n<li>要么不知道怎么打开,要么打开后就是一坨纯文本</li>\n<li>体验极差,方案的冲击力大打折扣</li>\n</ol>\n<p>后来我改成直接分享HTML。好一点,但对大多数人来说,你给一个HTML文件,对方还是疑惑:这要用什么打开?</p>\n<p>直到我做了一个工具——把MD转成HTML,然后用HTML一键导出长图。这个流程彻底解决了我交付的最后一公里问题。</p>\n<p><strong>最终的交付形式:长图。</strong></p>\n<p>为什么是长图?因为在手机上、在微信里,长图的阅读体验是最好的。点开即读,排版完美,还能转发分享。对内容接收方来说,没有门槛、没有工具依赖。</p>\n<p>这套流程下来,我反而走了一条跟Thariq反方向的路:</p>\n<ul>\n<li><strong>我出方案</strong>(AI产出逻辑内容)</li>\n<li><strong>我转HTML</strong>(美化排版、加样式)</li>\n<li><strong>我导出长图</strong>(最终交付物)</li>\n</ul>\n<p>Thariq说的是让AI直接输出HTML、让阅读方直接在HTML里交互。我这边的场景更接地气——最终交付形态是长图,但中间那个HTML的步骤救了整个流程的命。</p>\n<h2 id=\"ai\">AI交付的未来:输出格式本身就是产品的一部分</h2>\n<p>Thariq举了几个实际场景来说明HTML输出的价值:</p>\n<p><strong>产品规划</strong>:AI可以抓取多个需求源的数据,整合出一份带表格、图表的总览页面,所有信息一目了然。</p>\n<p><strong>代码审查</strong>:生成的HTML页面可以直接嵌入差异对比、性能数据可视化,审查者不需要切换工具。</p>\n<p><strong>设计原型</strong>:AI生成带交互控件的HTML原型,设计师直接在页面上调参数、看效果。</p>\n<p><strong>深度报告</strong>:多层信息结构、可折叠章节、内嵌图表,比一长串Markdown文本高到不知道哪里去。</p>\n<p><strong>定制编辑界面</strong>:每个人都可以有一个被AI定制过的、适合自己的阅读和编辑界面。</p>\n<p>看到这些场景,你会发现一个趋势:<strong>AI的输出格式,正在从\"内容载体\"变成\"产品\"本身</strong>。</p>\n<p>过去我们只关心AI生成的内容对不对,拿到内容之后自己去排版、去美化、去转换格式。现在不一样了——AI输出的格式、排版、交互,本身就是用户体验的一部分。</p>\n<p>对创业者来说,这里的信号很明确:<strong>谁能在\"AI输出体验\"上做到极致,谁就能在交付这件事上建立壁垒。</strong></p>\n<h2 id=\"_1\">工具链建议</h2>\n<p>如果你也想走这条路,分享几个实际用下来的建议:</p>\n<ol>\n<li><strong>别放弃Markdown,用Markdown写、用HTML展示</strong>。MD在内容编辑阶段的体验仍然是最好的。问题是展示阶段还在用MD就纯粹是偷懒了。</li>\n<li><strong>找个好用的HTML模板</strong>。不需要多复杂,几个CSS类就够用了,重点是有好的代码块样式、表格样式、响应式布局。</li>\n<li><strong>长图导出是关键能力</strong>。如果你的目标用户群在微信生态,长图几乎是唯一靠谱的分享格式。H5页面太重,链接打开率低,纯文本没质感。</li>\n<li><strong>考虑交互能力</strong>。对于To B、企业内部场景,纯HTML页面加上交互控件(筛选、排序、参数调节)能大幅提升接收方的参与度。</li>\n</ol>\n<h2 id=\"_2\">最后说一句</h2>\n<p>Thariq和他的团队在Claude Code上做的尝试,是AI行业很少有人认真对待的方向——输出体验本身的价值。</p>\n<p>Markdown是给开发者用的,HTML是给所有人用的。</p>\n<p>AI产出的东西,如果能从\"等你去加工\"变成\"拿到就能用\",这个转变本身,就是巨大的效率提升和用户体验飞跃。</p>\n<p>长图也好、交互页面也好、带控件的仪表盘也好——核心是同一件事:<strong>别让用户去适应AI的格式,让AI去适配用户习惯的消费方式。</strong></p>\n<p>谁先做到这一点,谁就抢到了下一轮AI应用的红利。</p>\n\npostid: 9559\nuserid: 1\nlink: https://weixinsiwei.com/?id=9559\npermaLink: https://weixinsiwei.com/?id=9559\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了\ndescription: <h1>真AI能落地、能获客,第一批用龙虾维护公众号和网站的人已经不吱声了</h1>\n<p>身边越来越多人开始讨论AI,但聊的内容还停留在\"ChatGPT能不能替代人类\"\"Sora又出了什么震撼大片\"这类话题上。</p>\n<p>听起来都挺牛的。然后呢?</p>\n<p>然后就没有然后了。聊完继续苦哈哈地写公众号、登录不同后台发网站、半夜追热点赶稿子。</p>\n<p>但我观察到另一拨人,态度完全不同。他们不说话,甚至主动回避这个话题。你问他们最近用什么AI工具,他们的回答永远是\"没用啥\"或者\"随便试试\"。</p>\n<p>这帮人不吱声,不是因为不好用——是因为太好用了,说出来等于给自己培养竞争对手。</p>\n<p><strong>我花了三个月,终于搞清楚他们在干什么。</strong></p>\n<h2 id=\"ai\">他们用AI干了一件事:真正帮自己干活</h2>\n<p>先说一个最简单的场景。</p>\n<p>做公众号的人都知道,每天最痛苦的不是选题(虽然也挺痛苦),而是从选题到发布之间那一大串流程:</p>\n<p>看到素材 → 构思框架 → 查资料补细节 → 写成文章 → 找配图 → 排版 → 发公众号 → 同步到网站 → 多平台分发</p>\n<p>这一整套走下来,稍微认真点的文章,半天就没了。天天这样,专职运营都得崩溃,更别说大部分做号的人其实是身兼数职的创业者。</p>\n<p>第一批用龙虾(OpenClaw)的人,把这套流程砍成了三步:</p>\n<p><strong>第一步,看到好素材,直接转发给龙虾。</strong>\n<strong>第二步,龙虾自己把文章写出来,配好图,生成发布预览。</strong>\n<strong>第三步,你确认没问题,点个确认,文章就出现在公众号和网站上了。</strong></p>\n<p>你没看错。从素材到发布,中间那堆脏活累活——选题建议、文章撰写、图片生成、排版适配、多端同步——全是龙虾自己跑完的。</p>\n<p>以前一个人干半天的活,现在几分钟搞定。而且因为AI不需要睡觉,半夜刷到突发新闻,直接转发给龙虾,天亮前文章已经发好了。</p>\n<h2 id=\"_1\">为什么他们\"不吱声\"了?</h2>\n<p>答案其实很简单:<strong>闷声发财的人最怕被人知道发财方法。</strong></p>\n<p>我一个做本地生活号的朋友,之前每天花4-5个小时弄公众号,周末还要维护公司网站。用了龙虾之后,每天花在内容上的时间不超过40分钟。省下来的时间干嘛去了?做新的号、谈商务合作、研究变现路径。</p>\n<p>三个月做了三个号,流量翻了四倍。</p>\n<p>你让他出去分享经验?他说\"也没啥特别的,就坚持原创呗\"——这话你信吗?反正我信了,然后三个月后才发现他偷偷用了龙虾。</p>\n<p>这不是个例。在第一批用户的小圈子里,大家默契地形成了一个潜规则:<strong>聊龙虾可以,但别透露自己怎么用的。</strong></p>\n<p>不是因为怕平台封杀(龙虾是合规的)。而是因为在内容竞争这么卷的今天,效率就是壁垒。一个人用AI把生产速度提到你的十倍,他凭什么告诉你?</p>\n<h2 id=\"_2\">网站维护才是真正的高频苦活</h2>\n<p>聊公众号聊得多,是因为做号的人多。但其实龙虾在网站维护上,价值更大。</p>\n<p>很多创业者、小企业主都有自己的网站——产品页、博客、案例展示、合作伙伴专区……这些网站往往是几个平台并行,一个简单的更新公告,要登录三个后台,改三套模板,发三遍版本。</p>\n<p>以前我认识的一个老板,每次更新产品信息,要把文案发给助理 → 助理写成通稿 → 找设计师做配图 → 分别登录三个网站后台发布 → 检查排版是否错乱。一个简单的产品升级,折腾两天。</p>\n<p>现在呢?他直接把产品文档发给龙虾,说\"更新到网站群\"。<strong>龙虾自己读完文档、理解改动点、写成适合不同站点的文案、配好图、逐站发布。</strong></p>\n<p>他跟我说了一句话我印象特别深:</p>\n<blockquote>\n<p>\"用了龙虾之后我才意识到,我之前招了一个人干的活,其实不是人该干的。\"</p>\n</blockquote>\n<h2 id=\"ai_1\">边角料时间变现,才是AI的真金白银</h2>\n<p>还有一个特别有意思的使用场景——碎片时间的利用。</p>\n<p>每个人都刷手机吧?刷到好文章、好段子、有意思的数据——在心里点个赞,划过去,然后忘了。</p>\n<p>因为理由特别充分:这会儿在吃饭/在排队/在地铁上,就算看到了好素材,后面还得找电脑写文章、查资料、配图……太麻烦了,算了。</p>\n<p>龙虾改变的是这件事。<strong>你不需要马上干完所有活。你只需要把素材转发给龙虾,剩下的它会帮你处理。</strong></p>\n<p>\"看到好内容 → 转发 → 继续刷手机\",就这三步。</p>\n<p>过半小时你再看微信,龙虾已经把初稿写好了,配图方案也有了,就等你确认。你在地铁上划几下屏幕,审核、修改、确认发布。一篇好文章,诞生于蹲马桶和排队之间的碎片时间里。</p>\n<p>那个本地生活号的朋友跟我说,他80%的爆款文章都是这么来的。不是在工位上苦思冥想写出来的,而是刷手机时转发素材,利用边角料时间完成的。</p>\n<p><strong>这才是AI的真价值:不是替代人,而是让人在不改变习惯的前提下,凭空多出几个小时的产出。</strong></p>\n<h2 id=\"_3\">别等到你的对手也\"不吱声\"了</h2>\n<p>现在说回开头那个问题。</p>\n<p>为什么第一批用龙虾的人不吱声了?</p>\n<p>因为他们已经跑起来了,你没跟上。他们每天比你多生产几篇文章,多更新几次网站,多覆盖几个平台。一个月看不出差距,三个月是代差,半年就是降维打击。</p>\n<p>AI这件事,最大的坑不是选错了工具,而是选了工具之后,发现自己不知道怎么用起来。龙虾的价值不在于它用了什么大模型,而在于<strong>从素材到发布的全链路自动化</strong>,它真的帮你省了一个角色。</p>\n<p>你现在去问那批人:\"听说你在用龙虾?\"</p>\n<p>他们大概率会说:\"哦,随便试试。\"</p>\n<p>别信。</p>\n<hr>\n<p>想拥有同款龙虾?联系微信:tuikejiaolian</p>\n\npostid: 9556\nuserid: 1\nlink: https://weixinsiwei.com/?id=9556\npermaLink: https://weixinsiwei.com/?id=9556\nmt_keywords: 创业思维,AI应用,AI落地\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 从国药特医的经营范围,看大健康行业的三大趋势\ndescription: <h1>从国药特医的经营范围,看大健康行业的三大趋势</h1>\n<p>一家注册在郑州自贸区的公司,经营范围能告诉我们什么?如果仔细研究国药特医(河南)健康产业有限公司的经营范围列表,你会发现它几乎就是一本浓缩版的\"大健康行业趋势指南\"——从健康咨询到医疗美容,从特医食品到互联网销售,每一行经营范围背后都对应着一个正在快速增长的市场。</p>\n<h2 id=\"_1\">趋势一:从\"治病\"到\"治未病\"</h2>\n<p>国药特医(河南)的经营范围中,有几个关键词格外醒目:<strong>\"健康咨询服务\"、\"中医养生保健服务\"、\"保健食品(预包装)销售\"、\"中草药收购\"、\"农副产品销售\"</strong>。这些项目有一个共同的特点——它们都属于疾病预防和健康管理的范畴,而非传统的疾病治疗。</p>\n<p>这就是中国医疗健康行业正在经历的最深刻转型:从\"以治病为中心\"到\"以健康为中心\",也就是所谓的\"治未病\"理念。</p>\n<p><strong>市场驱动因素十分清晰:</strong></p>\n<p>一方面,人口老龄化加速。截至2025年底,中国60岁及以上人口已接近3亿,占总人口比例超过21%。老年人群对健康管理、慢病防控、中医保健的需求持续增长。中医养生、保健食品恰恰是这一人群的核心消费方向。</p>\n<p>另一方面,年轻一代的健康意识觉醒。数据显示,25-35岁人群在健康消费品上的支出增速已超过老年人群体。\"朋克养生\"成为网络热词——年轻人一边熬夜一边吃保健品,推动保健食品市场持续扩容。2024年中国保健食品市场规模已突破4000亿元,预计2026年将突破5000亿元。</p>\n<p><strong>国药特医的布局逻辑非常清晰:</strong> 健康咨询作为前端流量入口,保健食品和中药作为核心产品,中医养生保健服务作为高粘性的服务闭环。这家公司虽然没有大规模的制造工厂,但这一套\"咨询+产品+服务\"的组合,覆盖了健康管理的全流程。</p>\n<p>经营范围中还包含\"中医诊所服务(需备案后方可经营)\",这意味着未来这家公司可能直接开设中医诊所,将服务能力从线下的咨询进一步延伸到诊疗层面。这种从轻到重、从线上到线下的渐进式布局,正是当前大健康行业中\"健康管理公司\"的典型成长路径。</p>\n<h2 id=\"_2\">趋势二:医疗器械全链条覆盖</h2>\n<p>国药特医(河南)的经营范围中,关于医疗器械的部分占据了相当篇幅:</p>\n<blockquote>\n<p>一般项目:第一类医疗器械销售、第二类医疗器械销售、第一类医疗器械生产\n许可项目:第二类医疗器械经营、第三类医疗器械经营、第三类医疗器械生产</p>\n</blockquote>\n<p>从第一类到第三类,从生产到经营——这是一条完整的医疗器械产业链布局。</p>\n<p><strong>为什么这很重要?</strong></p>\n<p>首先,医疗器械是国产替代的主战场之一。近年来国家持续出台政策推动高端医疗器械国产化,包括集中采购、创新医疗器械加速审批等。从口罩、防护服等低值耗材(一类),到血压计、血糖仪等家用器械(二类),再到CT、核磁共振等大型设备(三类),国产替代正在各个层级推进。</p>\n<p>其次,医疗器械的利润率远高于药品。Bloomberg数据显示,全球医疗器械行业的平均毛利率在50%-65%之间,头部企业可达70%以上。而药品行业的毛利率普遍在30%-50%之间。</p>\n<p>第三,医疗器械覆盖生活场景的速度在加快。家用血压计、血糖仪、制氧机、呼吸机、康复器械等已从医院走向家庭。国药特医在郑州市中心设立运营中心,借助商都路的区位优势开展医疗器械销售,可以直接触达大量家庭用户和有康复需求的老年用户。</p>\n<p><strong>经营范围中\"一类生产\"和\"二三类的经营许可\"并存</strong>,说明国药特医(河南)很可能采用了\"轻生产、强流通\"的策略——一类低风险产品自行生产,二三类高壁垒产品通过渠道经营。这种策略既控制了合规成本,又保证了产品线的完整。</p>\n<h2 id=\"_3\">趋势三:互联网+大健康</h2>\n<p>经营范围中\"互联网销售\"和\"技术服务\"两个条目,暗示了这家公司在数字化方向上的布局意图。</p>\n<p>互联网医疗在过去几年经历了几轮政策松紧,但长期趋势是确定的。从在线问诊到电子处方流转,从药品O2O到慢病管理SaaS,互联网正在重塑医疗健康的服务形态。</p>\n<p><strong>关键数据值得关注:</strong></p>\n<p>中国在线医疗用户规模已突破3.5亿,占网民总数的30%以上。头部互联网医疗平台(如京东健康、阿里健康)的年度活跃用户均已超过1亿。但从渗透率来看,互联网医疗仅占整体医疗支出的约5%——在美国这一比例约为15%-20%,增长空间仍然巨大。</p>\n<p>对于国药特医(河南)来说,\"互联网销售\"指向的是保健食品、医疗器械、特医食品的线上零售渠道。在特医食品领域,由于目标人群分散(特殊疾病患者、术后恢复人群、老年群体),通过线上精准获客比线下铺货更高效。</p>\n<p>\"技术服务\"则可能指向更广泛的数字化布局——可能是为医疗机构提供的技术解决方案,也可能是面向C端的健康管理APP。</p>\n<h2 id=\"_4\">特医食品:一个独立的蓝海赛道</h2>\n<p>虽然特医食品被归类在保健食品的经营范围内,但它值得单独拿出来分析——因为它可能是国药特医(河南)的核心发力方向。</p>\n<p>特殊医学用途配方食品(FSMP),是针对进食受限、消化吸收障碍、代谢紊乱等特殊疾病状态人群的营养支持产品。这类产品介于药品和普通食品之间,具有明确的临床价值。</p>\n<p><strong>行业前景极为亮眼:</strong></p>\n<p>全球特医食品市场规模约为700亿元,中国占比较低但增速最快。行业内普遍预测,到2028年中国特医食品市场规模将达到300亿元以上。在政策层面,国家卫健委和市场监管总局持续优化审批流程,特医食品注册周期从过去的3-4年缩短至1-2年。</p>\n<p>国药系切入特医食品的优势在于渠道——三级医院的临床营养科是特医食品的核心终端,而国药系的药品流通网络与这些医院的合作早已建立。国药特医(河南)在自贸区的设立,可以利用进出口便利,引入海外成熟的特医食品品牌,同时在国内进行本地化生产和渠道建设。</p>\n<h2 id=\"_5\">三个趋势背后的共同逻辑</h2>\n<p>如果将三大趋势串联起来看,会发现它们共同指向一个方向:<strong>大健康行业的边界正在模糊和融合。</strong></p>\n<p>健康咨询与中医养生的融合——医疗从单次诊疗变成长期健康管理。\n医疗器械与互联网销售融合——硬件产品通过线上渠道触达更广的人群。\n特医食品与临床营养融合——食品越来越像药品,药品越来越强调营养支持。</p>\n<p>国药特医(河南)的经营范围,恰恰反映了这种融合趋势。它既不是传统的制药公司,也不是纯粹的零售企业,而是一家\"大健康服务集成商\"——用国药的品牌背书整合供应链,用互联网能力降低获客成本,用丰富的产品线覆盖客户从健康到亚健康再到疾病的全部需求。</p>\n<p>对于关注大健康赛道的创业者、投资者和从业者来说,国药特医(河南)的经营范围远非一份枯燥的工商登记文件。它是一份趋势地图,指向了中国大健康行业未来五年最重要的三个增长方向。</p>\n\npostid: 9554\nuserid: 1\nlink: https://weixinsiwei.com/?id=9554\npermaLink: https://weixinsiwei.com/?id=9554\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 穿透股权看本质:国药特医(河南)和国药集团到底什么关系?\ndescription: <h1>穿透股权看本质:国药特医(河南)和国药集团到底什么关系?</h1>\n<p>\"国药特医\"——当一家民营企业想要在名称中使用\"国药\"二字时,往往需要获得品牌授权或暗示着某种国资背景。但层层穿透后,\"国药\"二字的分量到底有多重?它与真正的国药集团之间,到底是血脉直系还是远亲?本文以国药特医(河南)健康产业有限公司为例,进行逐层股权穿透分析。</p>\n<h2 id=\"_1\">第一层:谁是国药特医(河南)的股东?</h2>\n<p>根据工商登记信息,国药特医(河南)健康产业有限公司由\"国药医养健康产业(海南)有限公司\"100%持股,法定代表人为聂磊。这是一级穿透,我们能看到的直接唯一股东。</p>\n<p>\"国药医养健康产业(海南)\",这个名字本身就带着鲜明的国药色彩。接下来我们要继续追问:这家海南公司又是谁的?</p>\n<h2 id=\"_2\">第二层:海南公司的双重持股结构</h2>\n<p>国药医养健康产业(海南)有限公司的股权结构并非单一的母公司全资控股,而是由两名股东共同持有:</p>\n<ul>\n<li>70%的股份由\"国药医养健康产业(杭州)有限公司\"持有;</li>\n<li>30%的股份由\"国药凯丽康(上海)企业发展有限公司\"持有。</li>\n</ul>\n<p>这里出现了一个值得注意的现象:海南公司没有选择单一股东100%持股,而是引入了两家股东。从比例来看,杭州公司是绝对控股方(70%),上海公司是重要参股方(30%)。这种结构意味着在实际决策中,杭州公司主导方向,但上海公司也有相当的制衡能力。</p>\n<h2 id=\"_3\">第三层:国药凯丽康再穿透</h2>\n<p>让我们沿着上海公司的线索继续向上穿透。</p>\n<p>国药凯丽康(上海)企业发展有限公司,由其名称中的\"国药\"二字和完整的股权记录来看,它被\"国药药材股份有限公司\"100%持股。</p>\n<p>而国药药材股份有限公司的股权结构中,25%的股份归属于\"中国中药有限公司\"——中国中药是国药集团的二级子公司。</p>\n<p>这里出现了整条穿透链上最关键的转折点:经过层层传递,国药药材与国药集团之间通过中国中药形成了25%的持股关联。国药集团层面,中国中药有限公司是其在中药板块的核心二级平台。</p>\n<h2 id=\"_4\">第四层:一段变更的历史</h2>\n<p>研究这家公司的股权沿革,还有一段容易被忽视的历史:在更早的时期,国药特医(河南)曾经被国药集团下属的子公司以100%持股的方式全资持有。但在后续的股权重组中,这一直接的股权关系被调整了,变成了现在我们看到的间接持股结构。</p>\n<p>这一变更很可能是国药系内部重组的结果。近年来,国药集团持续推进\"瘦身健体\",调整下属企业的组织架构和股权关系,将一些非核心业务进行剥离或下沉至次级平台。股权关系从\"直接持有\"变为\"间接持有\",并不意味着品牌关系的彻底断绝——实际上,在国药系内部,这种层级嵌套的股权安排非常普遍。</p>\n<h2 id=\"_5\">第五层:现状总结——到底什么关系?</h2>\n<p>让我们做一个完整的股权穿透路径总结:</p>\n<div class=\"codehilite\"><pre><span></span><code>国药集团\n └── 中国中药有限公司(国药集团二级公司,持有国药药材25%)\n └── 国药药材股份有限公司(100%控股国药凯丽康)\n └── 国药凯丽康(上海)(持有国药医养海南30%)\n └── 国药医养海南(100%控股国药特医河南)\n国药医养杭州(持有国药医养海南70%,其背后亦有国药关联)\n</code></pre></div>\n\n<p>从这条路径来看,国药特医(河南)和国药集团之间确实存在股权关联,但属于\"间接嵌套\"关系,而非直系血脉关系。这种关系在国资体系内最准确的表述是:<strong>国药特医(河南)的最终受益人可追溯到国药集团,中间经过了多层持股嵌套。</strong></p>\n<h2 id=\"_6\">\"国药\"二字的使用逻辑</h2>\n<p>\"国药\"作为品牌标识,在中国医药行业具有极高的品牌溢价。但在实际操作中,并非所有冠以\"国药\"之名的企业都和国药集团有直接的从属关系。</p>\n<p>在核心的一级子公司和主要二级子公司层面,国药集团对\"国药\"品牌的使用有较为严格的控制。但在更下层的孙公司、曾孙公司层面,品牌的使用相对灵活。只要存在股权关联(哪怕是间接关联),且获得了上一级股东的认可,就可以在商号中使用\"国药\"二字。</p>\n<p>这种品牌使用逻辑,在大型央企体系中并不罕见。中粮、华润、中化等央企体系内都存在着大量类似的\"远亲\"企业。这对于下级企业而言,是一种品牌势能的传导;对于上级集团来说,则可以在不占用核心品牌资源的前提下,让下级企业利用品牌影响力开拓市场。</p>\n<h2 id=\"_7\">对企业合作意味着什么?</h2>\n<p>对于和国药特医(河南)有合作意向的企业来说,客观看待这层股权关系非常重要。</p>\n<p><strong>正面来看:</strong> 能够通过层层穿透追溯到国药集团,说明这家企业通过了国资体系的合规审查,在业务资质、合规运营等方面有一定的制度保障。同时,虽然没有直接的集团资源倾斜,但在药品流通渠道、供应商资源、行业准入等方面,\"国药系\"内部确实存在一定程度的协同效应。</p>\n<p><strong>不过也需要理性看待:</strong> 多层持股意味着决策链条较长,国药集团层面不会直接干预或支持这家孙公司的日常运营。国药特医(河南)的独立经营能力、地方市场开拓能力,才是真正决定其商业价值的因素。\"国药\"二字是信任背书,但不是成功保证。</p>\n<h2 id=\"_8\">股权设计的战略启示</h2>\n<p>从更宏观的视角来看,国药特医(河南)的股权结构设计反映了一种典型的央企区域布局策略:</p>\n<ol>\n<li><strong>种子层设立</strong>,在最靠近市场的区域设立轻资产子公司;</li>\n<li><strong>中间层持股</strong>,采用两个及以上股东的共同持有,兼顾各方的利益和资源;</li>\n<li><strong>顶层穿透控制</strong>,通过多层间接持股锁定控制权,同时保持运营层面的灵活性。</li>\n</ol>\n<p>对于从事大健康领域创业或投资的读者而言,理解这种股权结构,有助于在面对\"国药系\"企业时快速判断其真实的品牌价值和资源能力——名字里带\"国药\"不代表直系血脉,但股权能穿到国药集团,至少说明它在这一体系中有属于自己的位置。</p>\n\npostid: 9553\nuserid: 1\nlink: https://weixinsiwei.com/?id=9553\npermaLink: https://weixinsiwei.com/?id=9553\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464795077},{"role":"assistant","content":[{"type":"text","text":"文章发布成功!可以看到 postid=9560 的新文章 `开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来` 已经在网站最新文章的列表中,排在最前面(id: 9560),内容完整。现在来写发布日志:"},{"type":"toolCall","id":"call_00_X3fx0gsCMjE7VmM0SSai9188","name":"write","arguments":{"path":"/root/.openclaw/agents/101/workspace/publish-log.md","content":"# 发布日志\n\n## 文章\n**标题:** 开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来 \n**发布日期:** 2026-05-11\n\n---\n\n## ✅ 任务1:公众号发布(创业张三疯)\n\n**状态:✅ 已完成**\n\n- **账号:** 创业张三疯(wx88b0cf376e0386c4)\n- **作者:** ai张三疯\n- **封面:** cover-hermes.jpg\n- **主题:** default, color: blue\n- **media_id:** `imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F`\n- **草稿箱验证:** 通过 — 已确认草稿箱中存在该文章,标题、作者、摘要、封面图均正确\n- **摘要(前120字符):** 这不是某家大厂的API调用量,也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Res...\n\n## ✅ 任务2:网站发布(创业思维网 weixinsiwei.com)\n\n**状态:✅ 已完成**\n\n- **站点:** weixinsiwei.com (Z-Blog)\n- **转换方式:** 使用 md2html.py 将 Markdown 转为完整 HTML 后通过 XML-RPC 发布\n- **XML-RPC 地址:** https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- **Post ID:** 9560\n- **分类:** AI科技\n- **getRecentPosts 验证:** 通过 — 文章已确认出现在最新发布文章列表首位\n- **文章链接:** https://weixinsiwei.com/?id=9560\n\n---\n\n## 总结\n\n| 渠道 | 状态 | 详情 |\n|------|------|------|\n| 公众号(创业张三疯) | ✅ 已发布 | media_id 已确认,草稿箱验证通过 |\n| 网站(weixinsiwei.com) | ✅ 已发布 | post_id=9560, getRecentPosts 验证通过 |\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":8248,"output":601,"cacheRead":36096,"cacheWrite":0,"totalTokens":44945,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464795080,"responseId":"acd55345-d875-4c28-af84-250c0f0caef3"},{"role":"toolResult","toolCallId":"call_00_X3fx0gsCMjE7VmM0SSai9188","toolName":"write","content":[{"type":"text","text":"Successfully wrote 954 bytes to /root/.openclaw/agents/101/workspace/publish-log.md"}],"isError":false,"timestamp":1778464805077},{"role":"assistant","content":[{"type":"text","text":"## 任务完成 ✅\n\n两个渠道全部发布成功并已完成验证:\n\n### ✅ 公众号发布(创业张三疯)\n- **已发布到草稿箱**,media_id: `imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F`\n- **验证通过** — 调用草稿箱接口确认文章存在,标题、作者(ai张三疯)、摘要、封面图均正确\n\n### ✅ 网站发布(创业思维网 weixinsiwei.com)\n- **使用 md2html.py 转换 MD→HTML** 后通过 XML-RPC 发布\n- **文章已成功发布**,Post ID: 9560\n- **验证通过** — 通过 `metaWeblog.getRecentPosts` 确认文章出现在最新文章列表首位\n- 在线地址:<https://weixinsiwei.com/?id=9560>\n\n### 发布日志\n已写入 `/root/.openclaw/agents/101/workspace/publish-log.md`"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":53,"output":235,"cacheRead":44928,"cacheWrite":0,"totalTokens":45216,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1778464805079,"responseId":"2542aa45-8112-49dd-9005-7afbe2931c07"}]}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"29319385-f899-44ed-90ec-2c130d54f128","source":"runtime","type":"trace.artifacts","ts":"2026-05-11T02:00:10.065Z","seq":6,"sourceSeq":6,"sessionId":"29319385-f899-44ed-90ec-2c130d54f128","sessionKey":"agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310","runId":"315225cc-d6a2-4ec2-ae16-c0719ed3bdc8","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"capturedAt":"2026-05-11T02:00:10.065Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":35135,"output":4134,"cacheRead":391040,"total":430309},"promptCache":{"lastCallUsage":{"input":53,"output":235,"cacheRead":44928,"cacheWrite":0,"total":45216},"lastCacheTouchAt":1778464805079},"compactionCount":0,"assistantTexts":["I'll start by reading the article file and understanding what needs to be done.","Good, I have the article content and can see the necessary files. Let me now check the availability of the tools I need.","Now let me check the wechat-api.ts script and md2html.py exist:","Let me check the wechat-api.ts script to understand its commands and how it works:","Now let me check the wechat-extend-config to understand credential loading:","Now I understand the system. The wechat-api.ts can load credentials from EXTEND.md account config, environment variables, or .env file. Since the task says to use the provided APP_ID and APP_SECRET directly, I'll pass them as environment variables.\n\nLet me start with **Task 1: 公众号发布**. I'll set the env vars and run the command:","公众号发布成功!现在验证草稿箱:","✅ **公众号发布成功并验证完毕!** 草稿箱中存在该文章,media_id 已确认。\n\n现在进行 **Task 2:网站发布(创业思维网 weixinsiwei.com)**\n\n首先用 md2html.py 转换 Markdown 为 HTML:","HTML 转换完成。现在用 XML-RPC 方式发布到 Z-Blog。我需要手动构造 XML 来调用 metaWeblog.newPost:","小小修复:","The post was published (getRecentPosts shows it as \"id: 9560\"), but newPost returned `True` instead of the actual post ID. Let me verify by checking the website directly:","文章发布成功!可以看到 postid=9560 的新文章 `开源AI Agent「Hermes」登顶全球AI应用排行榜:自进化才是未来` 已经在网站最新文章的列表中,排在最前面(id: 9560),内容完整。现在来写发布日志:","## 任务完成 ✅\n\n两个渠道全部发布成功并已完成验证:\n\n### ✅ 公众号发布(创业张三疯)\n- **已发布到草稿箱**,media_id: `imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F`\n- **验证通过** — 调用草稿箱接口确认文章存在,标题、作者(ai张三疯)、摘要、封面图均正确\n\n### ✅ 网站发布(创业思维网 weixinsiwei.com)\n- **使用 md2html.py 转换 MD→HTML** 后通过 XML-RPC 发布\n- **文章已成功发布**,Post ID: 9560\n- **验证通过** — 通过 `metaWeblog.getRecentPosts` 确认文章出现在最新文章列表首位\n- 在线地址:<https://weixinsiwei.com/?id=9560>\n\n### 发布日志\n已写入 `/root/.openclaw/agents/101/workspace/publish-log.md`"],"finalPromptText":"[Mon 2026-05-11 09:58 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion.","itemLifecycle":{"startedCount":36,"completedCount":36,"activeCount":0},"toolMetas":[{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/, `ls ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/, `ls ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/`"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg, `ls ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg`"},{"toolName":"exec","meta":"run which python3 → run python3, `which python3 && python3 --version`"},{"toolName":"exec","meta":"run which bun → run bun command, `which bun && bun --version`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py → find files named \"md2html.py\" in ~, `ls -la ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py 2>/dev/null || find ~ -name \"md2html.py\" 2>/dev/null`"},{"toolName":"exec","meta":"list files in skills/baoyu-post-to-wechat/scripts/wechat-api.ts → find files in ~/.openclaw, `ls -la skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null || find ~/.openclaw -path \"*/baoyu-post-to-wec…`"},{"toolName":"read","meta":"from ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts, `ls ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts 2>/dev/null`"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts"},{"toolName":"exec","meta":"run bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts (in ~/.openclaw/agents/101/workspace), `cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=b2d47e…d2…`"},{"toolName":"exec","meta":"fetch https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid=wx88b0cf376e0386c4&secret=b2d47e…192f -> run python3 inline script, `curl -s \"https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid=wx88b0cf376e0386c4&secret=***"},{"toolName":"exec","meta":"fetch https://api.weixin.qq.com/cgi-bin/draft/get?access_token=*** -> run python3, `ACCESS_TOKEN=\"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDO…`"},{"toolName":"exec","meta":"run python3 ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py, `python3 ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py \"~/.openclaw/agents/101/workspace/post-to-wechat/2…`"},{"toolName":"read","meta":"from /tmp/hermes-article.html"},{"toolName":"exec","meta":"show >, `cat > /tmp/hermes-post.py << 'PYEOF' import xmlrpc.client import sys url = \"https://weixinsiwei.com/zb_system/xml-rpc/i…`"},{"toolName":"exec","meta":"show >, `cat > /tmp/hermes-post.py << 'PYEOF' import xmlrpc.client import sys from datetime import datetime url = \"https://weixi…`"},{"toolName":"exec","meta":"fetch https://weixinsiwei.com/zb_system/xml-rpc/index.php -> run python3 inline script, `curl -s \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\" \\ -H \"Content-Type: text/xml\" \\ -d '<?xml version=\"1.0\"?>…`"},{"toolName":"write","meta":"to ~/.openclaw/agents/101/workspace/publish-log.md (954 chars)"}],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"29319385-f899-44ed-90ec-2c130d54f128","source":"runtime","type":"session.ended","ts":"2026-05-11T02:00:10.066Z","seq":7,"sourceSeq":7,"sessionId":"29319385-f899-44ed-90ec-2c130d54f128","sessionKey":"agent:fabu:subagent:e858b085-d40c-4998-b46c-5c59610b7310","runId":"315225cc-d6a2-4ec2-ae16-c0719ed3bdc8","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"status":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false}}