---
name: feishu-e3e20a53c526
description: Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
---

# 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 `codewhale mcp add`, then run
   `codewhale mcp validate` and `codewhale 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.


---
Source attribution: Hmbown
Original project: https://github.com/Hmbown/CodeWhale
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Hmbown
Original project: https://github.com/Hmbown/CodeWhale
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Marketing, Sales
Roles: Business Development, Customer Success Manager, Growth Marketer, Product Marketer, Sales Development Rep (SDR)
Specialties: API
Tools: Feishu, Lark
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 0ffe630520ba5eeb8486a2487dace9e4fd34976ef4c99fa76cd8387f9a30b445