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lark-toolkit云雀工具包

Agent Skill

lark-toolkit 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

816

周安装

33

下载量

256
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lark-toolkit(云雀工具包)
来源仓库:https://skills.volces.com
仓库路径:lark-toolkit
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

简介

lark-toolkit 用于查找、检索和筛选相关信息。

  • 适合在 Local Agent 中根据关键词、任务场景快速定位候选结果。
  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网、命令执行或文件读写。
  • 当前无额外备注,功能尚不明确,需进一步验证。

SKILL.md

Lark Toolkit

Prerequisites & Security

This skill is a documentation-only reference guide. It contains no executable code that accesses credentials automatically.

Required credentials (user-provided, never bundled):

How credentials are used:

  • All API examples in SKILL.md use placeholders (<APP_ID>, <APP_SECRET>, CHAT_ID, etc.) — no real secrets
  • The scripts/get_token.sh helper obtains a temporary tenant_access_token from Lark's auth API. It reads credentials from (in order):

1. Command-line arguments 2. LARK_APP_ID / LARK_APP_SECRET environment variables 3. ~/.openclaw/openclaw.json (standard OpenClaw config, path channels.lark.accounts.default.appId/appSecret)

  • The script prints the config source to stderr when falling back to the config file
  • No credentials are hardcoded, cached to disk, logged, or transmitted beyond the single Lark auth API call
  • The token is exported as LARK_TOKEN env var for subsequent commands in the same shell session

Three Access Paths

NeedPathWhen
Send/receive messagesclaw-lark plugin (message tool)Basic text, media, reactions — simplest
Structured CRUD opsMCP tools via mcporterBitable, calendar, docs, tasks, OKR — 38 tools
Everything elseDirect API (curl)Contacts, member mgmt, anything MCP doesn't cover

Rule: claw-lark first → MCP second → direct API as fallback.

Authentication (Direct API)

TOKEN=$(curl -s -X POST 'https://open.larksuite.com/open-apis/auth/v3/tenant_access_token/internal' \
  -H 'Content-Type: application/json' \
  -d '{"app_id":"<APP_ID>","app_secret":"<APP_SECRET>"}' \
  | python3 -c "import sys,json; print(json.load(sys.stdin)['tenant_access_token'])")

Or use the helper: bash scripts/get_token.sh

Token validity: ~2 hours. Cache it.

API Base URLs

PlatformAPI BaseDev Console
Lark Internationalhttps://open.larksuite.com/open-apis/https://open.larksuite.com/app
Feishu (China)https://open.feishu.cn/open-apis/https://open.feishu.cn/app

⚠️ Lark ≠ Feishu. Always confirm which platform the tenant uses.

Common API Patterns

Send a Message

curl -X POST "https://open.larksuite.com/open-apis/im/v1/messages?receive_id_type=chat_id" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d '{"receive_id":"CHAT_ID","msg_type":"text","content":"{\"text\":\"hello\"}"}'

Reply in Thread

curl -X POST "https://open.larksuite.com/open-apis/im/v1/messages/MSG_ID/reply" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d '{"msg_type":"text","content":"{\"text\":\"reply\"}","reply_in_thread":true}'

Add Reaction

curl -X POST "https://open.larksuite.com/open-apis/im/v1/messages/MSG_ID/reactions" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d '{"reaction_type":{"emoji_type":"THUMBSUP"}}'

Emoji types: THUMBSUP HEART LAUGH OK COOL FINGERHEART SMILE JIAYOU

List Department Users (MCP gap — direct API only)

# List root departments
curl -s -H "Authorization: Bearer $TOKEN" \
  'https://open.larksuite.com/open-apis/contact/v3/departments?parent_department_id=0&page_size=50&fetch_child=true'

# List users in a department
curl -s -H "Authorization: Bearer $TOKEN" \
  'https://open.larksuite.com/open-apis/contact/v3/users?department_id=<DEPT_ID>&page_size=50'

Key fields: name, open_id, employee_type (1=regular, 2=intern), department_ids

Read Chat History

curl -s -H "Authorization: Bearer $TOKEN" \
  'https://open.larksuite.com/open-apis/im/v1/messages?container_id_type=chat&container_id=<CHAT_ID>&page_size=20&sort_type=ByCreateTimeDesc'

Add Bot to Group

curl -X POST "https://open.larksuite.com/open-apis/im/v1/chats/<CHAT_ID>/members?member_id_type=app_id" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d '{"id_list":["<BOT_APP_ID>"]}'

MCP Tools (38 available)

mcporter call lark-mcp.<tool_name> key=value

Full catalog with parameters: references/mcp-tools.md

MCP Coverage

ModuleKey Tools
Bitablecreate apps/tables, CRUD records, list fields
Calendarcreate/get/patch events, free/busy, primary calendar
Docsread content, search, import, set permissions
IMcreate/list groups, get members, send messages, list history
OKRbatch get, list periods, CRUD progress, query reviews
Reportquery rules/tasks, manage views
Taskcreate/patch tasks, add members/reminders
Wikisearch nodes, get node details
Contactsbatch get user IDs by email/phone

MCP Gaps (use direct API)

  • List users by department — GET /contact/v3/users?department_id=
  • List departments — GET /contact/v3/departments
  • Add/remove group members — POST /im/v1/chats/{chat_id}/members
  • Send reactions — POST /im/v1/messages/{msg_id}/reactions
  • Upload images/files — POST /im/v1/images / POST /im/v1/files

Pagination

Most list APIs use cursor-based pagination:

?page_size=50&page_token=<token_from_previous_response>

Check has_more in response.

Error Handling

CodeMeaning
0Success
99991663Token expired — refresh
99991664Token invalid
99991400Bad request
99991403No permission — check app permissions

Critical Pitfalls

  1. Lark ≠ Feishu — International uses open.larksuite.com, China uses open.feishu.cn
  2. open_id is per-app — Same user has different open_id across different Lark apps
  3. Webhook 5s timeout — Return 200 immediately, process async
  4. Event dedup — Use event_id (Lark retries up to 3x)
  5. Bot-to-bot blind spot — Lark does NOT push Bot A's messages to Bot B's webhook
  6. Publishing required — Permission/event changes only take effect after publishing a new app version
  7. ngrok IPv6 trap — Use 127.0.0.1:PORT not localhost:PORT in ngrok config
  8. ngrok free domain — Returns interstitial HTML that Lark rejects. Use paid domain.

Detailed References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

73.64%
按下载量换算189

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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