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lark-integration百灵集成

Agent Skill

lark-integration 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

147,476

周安装

6,084

GitHub Stars

2

下载量

48,185
OpenClaw

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。

GitHub

来源数

2

许可证

MIT-0

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-integration(百灵集成)
来源仓库:https://github.com/boyangwang/lark-integration
安装命令:
openclaw skills install lark-integration
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lark-integration

简介

通过 webhook 桥将 Lark(飞书)消息连接到 OpenClaw。支持双向文本、富文本(帖子)和图像消息。当设置 Lark/飞书作为消息通道、接收带图片的消息、向 Lark 发送回复、阅读 Lark 文档/wiki/bitables 或解决 Lark 集成问题时使用。涵盖飞书国际(larksuite.com)和中国飞书(feishu.cn)。

SKILL.md

name
lark-integration
description
Connect Lark (Feishu) messaging to OpenClaw via webhook bridge. Supports text, rich text (post), and image messages bidirectionally. Use when setting up Lark/Feishu as a messaging channel, receiving messages with images, sending replies back to Lark, reading Lark documents/wikis/bitables, or troubleshooting Lark integration issues. Covers both Lark International (larksuite.com) and China Feishu (feishu.cn).

Lark Integration

Connect Lark (Feishu) to OpenClaw for bidirectional messaging with full rich content support.

Quick Start

# 1. Set credentials
echo "FEISHU_APP_ID=cli_xxx" >> ~/.openclaw/workspace/.env
mkdir -p ~/.openclaw/secrets
echo "your_app_secret" > ~/.openclaw/secrets/feishu_app_secret

# 2. Start bridge
cd skills/lark-integration/scripts
node bridge-webhook.mjs

# 3. Configure Lark webhook URL in developer console
# https://open.larksuite.com → Your App → Event Subscriptions
# URL: http://YOUR_SERVER_IP:3000/webhook

Architecture

Lark App ──webhook──► Bridge (port 3000) ──WebSocket──► OpenClaw Gateway
                           │                                   │
                           ◄────────── Reply ──────────────────┘

Supported Message Types

TypeDirectionFormat
text↔ BothPlain text
post→ ReceiveRich text with images, links
image→ ReceiveSingle image
Reply← SendText (cards via feishu-card skill)

Platform Detection

The bridge auto-detects platform from URLs:

  • *.larksuite.comhttps://open.larksuite.com (International)
  • *.feishu.cnhttps://open.feishu.cn (China)

Configuration

Environment Variables

VariableRequiredDescription
FEISHU_APP_IDYesApp ID from Lark Developer Console
FEISHU_APP_SECRET_PATHNoPath to secret file (default: ~/.openclaw/secrets/feishu_app_secret)
WEBHOOK_PORTNoWebhook listen port (default: 3000)
FEISHU_THINKING_THRESHOLD_MSNoDelay before "Thinking..." placeholder (default: 2500)
FEISHU_ENCRYPT_KEYNoEncryption key if enabled in Lark
OPENCLAW_AGENT_IDNoAgent to route messages to (default: main)

Lark App Permissions

Enable these scopes in Lark Developer Console → Permissions & Scopes:

Messaging:

  • im:message - Send and receive messages
  • im:message:send_as_bot - Send messages as bot
  • im:resource - Download message resources (images)

Documents (optional):

  • docx:document:readonly - Read documents
  • wiki:wiki:readonly - Read wiki spaces
  • sheets:spreadsheet:readonly - Read spreadsheets
  • bitable:bitable:readonly - Read bitables
  • drive:drive:readonly - Access drive files

Scripts

bridge-webhook.mjs

Main webhook bridge. Receives Lark events, forwards to OpenClaw, sends replies.

FEISHU_APP_ID=cli_xxx node scripts/bridge-webhook.mjs

setup-service.mjs

Install as systemd service for auto-start:

node scripts/setup-service.mjs
# Creates /etc/systemd/system/lark-bridge.service

Image Handling

Images in messages are:

  1. Detected from post content or image message type
  2. Downloaded via Lark API using message_id and image_key
  3. Converted to base64
  4. Sent to OpenClaw Gateway as attachments parameter
attachments: [{ mimeType: "image/png", content: "<base64>" }]

Group Chat Behavior

In group chats, the bridge responds when:

  • Bot is @mentioned
  • Message ends with ? or
  • Message contains trigger words: help, please, why, how, what, 帮, 请, 分析, etc.
  • Message starts with bot name

Otherwise, messages are ignored to avoid noise.

Reading Documents

Use the feishu-doc skill to read Lark documents:

node skills/feishu-doc/index.js fetch "https://xxx.larksuite.com/docx/TOKEN"

Supported URL types:

  • /docx/ - New documents
  • /wiki/ - Wiki pages (auto-resolves to underlying doc)
  • /sheets/ - Spreadsheets
  • /base/ - Bitables (multi-dimensional tables)

Permission Note: Documents must be shared with the bot, or the bot must have tenant-wide read permission.

Troubleshooting

"forBidden" error when reading docs

  • Document not shared with bot → Add bot as collaborator
  • Missing scope → Enable docx:document:readonly in console

No messages received

  • Check webhook URL is accessible: curl http://YOUR_IP:3000/health
  • Verify webhook in Lark console shows "Verified"
  • Check bridge logs: journalctl -u lark-bridge -f

"must be string" error

  • Old bridge version → Update to use attachments for images

Images not received

  • Missing im:resource scope → Enable in Lark console
  • Token expired → Bridge auto-refreshes, restart if stuck

Service Management

# Check status
systemctl status lark-bridge

# View logs
journalctl -u lark-bridge -f

# Restart
systemctl restart lark-bridge

References

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

OpenClaw

73.45%
按下载量换算35,392

安全审计

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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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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