OpenClaw Lark/Feishu Plugin connects an OpenClaw agent to Lark or Feishu workspaces, allowing it to work with messages, documents, databases, spreadsheets, calendars, and tasks. It is for OpenClaw users who want their agent to read and update Lark/Feishu workspace data. The catalogue skills provide the agent workflows for operating those connected workspace features.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add larksuite/openclaw-lark --skill feishu-create-docgit clone --depth 1 https://github.com/larksuite/openclaw-larkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-create-doc)<a href="https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-create-doc"><img src="https://agentmods.dev/badge/skills/larksuite/openclaw-lark/feishu-create-doc/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-create-doc"><img src="https://agentmods.dev/badge/skills/larksuite/openclaw-lark/feishu-create-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.05683 |
| Opus 5 | $0.00020 | $0.02841 |
| Sonnet 5 | $0.00008 | $0.01137 |
| Haiku 4.5 | $0.00004 | $0.00568 |
Grade A, and why
feishu-create-doc scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
97% identical to feishu-create-doc — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 720 lines — stays where its author put it; the contents beside it link to each section on GitHub.
feishu_mcp_create_doc
通过 MCP 调用 create-doc,从 Lark-flavored Markdown 内容创建一个新的飞书云文档。
返回值
工具成功执行后,返回一个 JSON 对象,包含以下字段:
doc_id(string):文档的唯一标识符(token),格式如doxcnXXXXXXXXXXXXXXXXXXXdoc_url(string):文档的访问链接,可直接在浏览器中打开,格式如https://www.feishu.cn/docx/doxcnXXXXXXXXXXXXXXXXXXXmessage(string):操作结果消息,如"文档创建成功"
参数
markdown(必填)
文档的 Markdown 内容,使用 Lark-flavored Markdown 格式。
调用本工具的markdown内容应当尽量结构清晰,样式丰富, 有很高的可读性. 合理的使用callout高亮块, 分栏,表格等能力,并合理的运用插入图片与mermaid的能力,做到图文并茂.. 你需要遵循以下原则:
- 结构清晰:标题层级 ≤ 4 层,用 Callout 突出关键信息
- 视觉节奏:用分割线、分栏、表格打破大段纯文字
- 图文交融:流程和架构优先用 Mermaid/PlantUML 可视化
- 克制留白:Callout 不过度、加粗只强调核心词
当用户有明确的样式,风格需求时,应当以用户的需求为准!!
重要提示:
- 禁止重复标题:markdown 内容开头不要写与 title 相同的一级标题!title 参数已经是文档标题,markdown 应直接从正文内容开始
- 目录:飞书自动生成,无需手动添加
- Markdown 语法必须符合 Lark-flavored Markdown 规范,详见下方"内容格式"章节
- 创建较长的文档时,强烈建议配合update-doc中的append mode, 进行分段的创建,提高成功率.
title(可选)
文档标题。
folder_token(可选)
父文件夹的 token。如果不提供,文档将创建在用户的个人空间根目录。
folder_token 可以从飞书文件夹 URL 中获取,格式如:https://xxx.feishu.cn/drive/folder/fldcnXXXX,其中 fldcnXXXX 即为 folder_token。
wiki_node(可选)
知识库节点 token 或 URL(可选,传入则在该节点下创建文档,与 folder_token 和 wiki_space 互斥)
wiki_node 可以从飞书知识库页面 URL 中获取,格式如:https://xxx.feishu.cn/wiki/wikcnXXXX,其中 wikcnXXXX 即为 wiki_node token。
wiki_space(可选)
知识空间 ID(可选,传入则在该空间根目录下创建文档。特殊值 my_library 表示用户的个人知识库。与 wiki_node 和 folder_token 互斥)
wiki_space 可以从知识空间设置页面 URL 中获取,格式如:https://xxx.feishu.cn/wiki/settings/7448000000000009300,其中 7448000000000009300 即为 wiki_space ID。
参数优先级:wiki_node > wiki_space > folder_token
示例
示例 1:创建简单文档
{
"title": "项目计划",
"markdown": "# 项目概述\n\n这是一个新项目。\n\n## 目标\n\n- 目标 1\n- 目标 2"
}
示例 2:创建到指定文件夹
{
"title": "会议纪要",
"folder_token": "fldcnXXXXXXXXXXXXXXXXXXXXXX",
"markdown": "# 周会 2025-01-15\n\n## 讨论议题\n\n1. 项目进度\n2. 下周计划"
}
示例 3:使用飞书扩展语法
使用高亮块、表格等飞书特有功能:
{
"title": "产品需求",
"markdown": "<callout emoji=\"💡\" background-color=\"light-blue\">\n重要需求说明\n</callout>\n\n## 功能列表\n\n<lark-table header-row=\"true\">\n| 功能 | 优先级 |\n|------|--------|\n| 登录 | P0 |\n| 导出 | P1 |\n</lark-table>"
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 720 lines · 40 tokens per session scan A 54c48e32dbc5
feishu-create-doc is a skill published in the GitHub repository larksuite/openclaw-lark (2,373 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 5,683 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to feishu-create-doc, differing in 11 lines, and is treated as a copy.
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