How do I install the Feishu skill?

Run npx skillmds@latest add hmbown/feishu in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Feishu skill do?

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials. It is listed under AI & ML on SkillMD.

Is Feishu safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Feishu?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Feishu free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Feishu?

Hmbown (@hmbown) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Feishu by hmbown — Agent Skill

Name: Feishu
Author: Hmbown

File contents

Feishu / Lark

Use this skill when the user asks for Feishu, Lark, or "飞书" integration work.

Ground Rules

Feishu China APIs use open.feishu.cn; Lark international APIs use open.larksuite.com.
Never hardcode app secrets, webhook secrets, tenant tokens, or user tokens. Use environment variables such as FEISHU_APP_ID, FEISHU_APP_SECRET, FEISHU_WEBHOOK_URL, and FEISHU_WEBHOOK_SECRET.
If credentials are unavailable, produce setup instructions or a local stub instead of pretending the integration is live.

Common Use Cases

Bot webhook messages
App access token and tenant access token flows
Docs, Sheets, Wiki, and Bitable reads/writes
Approval or workflow status updates
Feishu/Lark MCP server configuration

Workflow

Clarify whether the target is Feishu or Lark.
Identify the credential type: webhook, internal app, marketplace app, or OAuth user token.
Prefer official OpenAPI endpoints and signed webhooks when secrets are configured.
For MCP, build or configure a server that exposes narrow tools such as send_message, read_doc, append_sheet_row, or query_bitable.
Register the MCP server with codewhale mcp add, then run codewhale mcp validate and codewhale mcp tools.
Verify with a dry run, sandbox document, or read-back call before sending externally visible messages.

Ask for confirmation before sending messages, writing production documents, or changing approval/workflow state.

Frequently asked questions

Feishu