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Feishu Fetch Doc

  • 217 installs
  • 2.3k repo stars
  • Updated July 22, 2026
  • larksuite/openclaw-lark

Pull Feishu/Lark cloud docs into Markdown inside your coding agent so specs and wikis become agent-readable context.

About

feishu-fetch-doc is an agent skill for solo builders and small teams who keep specs in Feishu/Lark and want Claude Code, Cursor, or Codex to read them as Markdown. It fetches cloud document body text in Lark-flavored Markdown and explains how embedded media is not inlined: images, attachments, and whiteboards appear as HTML tags with tokens that you download separately through feishu_doc_media. For knowledge-base links, the skill enforces a safe flow—resolve the wiki token first to learn obj_type and obj_token, then call the right fetch tool instead of assuming every wiki page is a docx. Use it during build when onboarding an agent to internal docs, syncing PRDs, or grounding codegen on living documentation. It pairs naturally with other openclaw-lark skills for media and wiki resolution. Complexity is intermediate because you must orchestrate multiple tools and paths on disk for binaries.

  • Returns Lark-flavored Markdown from docx URLs, raw tokens, or wiki links
  • Documents HTML token tags for images, files, and whiteboards that require feishu_doc_media download
  • Wiki URLs must be resolved via feishu_wiki_space_node get before calling the correct obj_type tool
  • Accepts full Feishu docx/wiki URLs or bare tokens as doc_id

Feishu Fetch Doc by the numbers

  • 217 all-time installs (skills.sh)
  • Ranked #2,698 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/larksuite/openclaw-lark --skill feishu-fetch-doc

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Listed on Skillselion
Installs217
repo stars2.3k
Security audit2 / 3 scanners passed
Last updatedJuly 22, 2026
Repositorylarksuite/openclaw-lark

What it does

Pull Feishu/Lark cloud docs into Markdown inside your coding agent so specs and wikis become agent-readable context.

Files

SKILL.mdMarkdownGitHub ↗

feishu_mcp_fetch_doc

获取飞书云文档的 Markdown 内容(Lark-flavored 格式)。

重要:图片、文件、画板的处理

文档中的图片、文件、画板需要通过 `feishu_doc_media`(action: download)工具单独获取!

识别格式

返回的 Markdown 中,媒体文件以 HTML 标签形式出现:

  • 图片
  <image token="Z1FjxxxxxxxxxxxxxxxxxxxtnAc" width="1833" height="2491" align="center"/>
  • 文件
  <view type="1">
    <file token="Z1FjxxxxxxxxxxxxxxxxxxxtnAc" name="skills.zip"/>
  </view>
  • 画板
  <whiteboard token="Z1FjxxxxxxxxxxxxxxxxxxxtnAc"/>

获取步骤

1. 从 HTML 标签中提取 token 属性值 2. 调用 feishu_doc_media 下载:

   {
     "action": "download",
     "resource_token": "提取的token",
     "resource_type": "media",
     "output_path": "/path/to/save/file"
   }

参数

  • `doc_id`(必填):支持直接传文档 URL 或 token
  • 直接传 URL:https://xxx.feishu.cn/docx/Z1FjxxxxxxxxxxxxxxxxxxxtnAc(系统自动提取 token)
  • 直接传 token:Z1FjxxxxxxxxxxxxxxxxxxxtnAc
  • 知识库 URL/token 也支持:https://xxx.feishu.cn/wiki/Z1FjxxxxxxxxxxxxxxxxxxxtnAcZ1FjxxxxxxxxxxxxxxxxxxxtnAc

Wiki URL 处理策略

知识库链接(/wiki/TOKEN)背后可能是云文档、电子表格、多维表格等不同类型的文档。当不确定类型时, 不能直接假设是云文档,必须先查询实际类型。

处理流程

1. 先调用 `feishu_wiki_space_node`(action: get)解析 wiki token

   { "action": "get", "token": "wiki_token_here" }

2. 从返回的 `node` 中获取 `obj_type`(实际文档类型)和 `obj_token`(实际文档 token) 3. 根据 `obj_type` 调用对应工具

obj_type工具传参
docxfeishu_mcp_fetch_docdoc_id = obj_token
sheetfeishu_sheetspreadsheet_token = obj_token
bitablefeishu_bitable_* 系列app_token = obj_token
其他告知用户暂不支持该类型

示例

用户:帮我看下这个文档 https://xxx.feishu.cn/wiki/ABC123

1. 调用 feishu_wiki_space_node(action: get, token: ABC123) 2. 返回 obj_type: "docx", obj_token: "doxcnXYZ789" 3. 调用 feishu_mcp_fetch_doc(doc_id: doxcnXYZ789)

工具组合

需求工具
获取文档文本feishu_mcp_fetch_doc
下载图片/文件/画板feishu_doc_media(action: download)
解析 wiki token 类型feishu_wiki_space_node(action: get)
读写电子表格feishu_sheet
操作多维表格feishu_bitable_* 系列

Related skills

FAQ

Is Feishu Fetch Doc safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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