# Feishu

> Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

- Skill: `xiaomingx/feishu` (Agent Skill)
- Install (CLI): `npx skillmds@latest add xiaomingx/feishu`
- Raw SKILL.md: https://api.skillmd.com/api/skills/xiaomingx/feishu/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: xiaomingx (https://skillmd.com/u/xiaomingx)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/xiaomingx/feishu

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# 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

1. Clarify whether the target is Feishu or Lark.
2. Identify the credential type: webhook, internal app, marketplace app, or
   OAuth user token.
3. Prefer official OpenAPI endpoints and signed webhooks when secrets are
   configured.
4. For MCP, build or configure a server that exposes narrow tools such as
   `send_message`, `read_doc`, `append_sheet_row`, or `query_bitable`.
5. Register the MCP server with `deepseek mcp add`, then run
   `deepseek mcp validate` and `deepseek mcp tools`.
6. 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.