Wechat Channel

What it does

When your agent uses it

• Tasks that involve Messaging and chat bots

Example prompts

• “/wechat-channel”

Requirements

• Node.js
• A credential in PADLOCAL_TOKEN
• A credential in YOUR_PADLOCAL_TOKEN
• Pre-approved tools (allowed-tools): Bash, Read, Write, Edit

Workflow steps

9 steps, taken from the step headings in SKILL.md.

1. 1Wechaty Bridge (消息桥接服务)
2. 2OpenClaw Webhook 接收器
3. 3消息发送 API
4. 4安装依赖
5. 5配置环境变量
6. 6启动服务
7. 7个人助手
8. 8群聊助手
9. 9自动化通知

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash
  • Read
  • Write
  • Edit

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (JavaScript), which the agent can run.

  Shell commands in SKILL.md call:

  • curl
  • npm
  • node

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • pad-local.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • PADLOCAL_TOKEN
  • OPENCLAW_WEBHOOK_SECRET

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wechat Channel loads about 1.3k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~40

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:69

  cp .env.example .env

• NoteMentions a .env fileSKILL.md:70

  # 编辑 .env 填入配置

• NoteMentions a .env fileSKILL.md:82

  ### 环境变量 (.env)

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Bash, Read, Write, Edit

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 195 words, ~1,267 tokens.

name

wechat-channel

description

微信 (WeChat) 与 OpenClaw 的双向集成通道。基于 Wechaty + PadLocal 实现微信消息的接收和发送，支持私聊、群聊、@提及检测、图片/文件传输。当需要通过微信与 AI 助手交互、接收微信消息触发 AI 响应、或从 OpenClaw 发送消息到微信时使用此技能。

allowed-tools

Bash, Read, Write, Edit

author

Daniel Li

┌─────────────┐     ┌──────────────────┐     ┌─────────────┐
│   微信用户   │ ←→  │  Wechaty Bridge  │ ←→  │  OpenClaw   │
│  (私聊/群聊) │     │  (PadLocal协议)   │     │   Gateway   │
└─────────────┘     └──────────────────┘     └─────────────┘
                           ↓
                    ┌──────────────────┐
                    │   消息格式转换    │
                    │   - 文本/图片/文件 │
                    │   - @提及检测     │
                    │   - 群聊/私聊路由  │
                    └──────────────────┘

cd /home/aa/clawd/skills/wechat-channel
npm init -y
npm install wechaty wechaty-puppet-padlocal axios dotenv

cp .env.example .env
# 编辑 .env 填入配置

node scripts/wechat-bridge.js
# 扫描终端显示的二维码登录

# PadLocal Token (必需)
# 获取方式: https://pad-local.com
PADLOCAL_TOKEN=YOUR_PADLOCAL_TOKEN

# OpenClaw Gateway 配置
OPENCLAW_GATEWAY_URL=http://127.0.0.1:18789
OPENCLAW_WEBHOOK_SECRET=your_webhook_secret

# 微信 Bot 配置
WECHAT_BOT_NAME=OpenClaw助手

# 安全配置
# 允许的用户微信ID (逗号分隔，留空允许所有)
ALLOWED_USERS=wxid_xxx,wxid_yyy
# 允许的群聊ID (逗号分隔，留空允许所有)
ALLOWED_GROUPS=xxx@chatroom,yyy@chatroom

# 群聊行为
# 是否需要@才响应群消息
REQUIRE_MENTION_IN_GROUP=true

# 日志级别
LOG_LEVEL=info

{
  "channels": {
    "wechat": {
      "enabled": true,
      "webhookUrl": "http://localhost:3001/webhook",
      "webhookSecret": "your_webhook_secret",
      "dmPolicy": "allowlist",
      "allowFrom": ["wxid_xxx", "wxid_yyy"],
      "groups": {
        "xxx@chatroom": {
          "name": "工作群",
          "requireMention": true
        }
      }
    }
  }
}

{
  "type": "message",
  "channel": "wechat",
  "messageId": "msg_123456",
  "from": {
    "id": "wxid_sender",
    "name": "张三",
    "alias": "zhangsan"
  },
  "chat": {
    "id": "wxid_sender",
    "type": "private"
  },
  "text": "你好，帮我查一下天气",
  "timestamp": 1706745600000,
  "mentions": [],
  "replyTo": null
}

{
  "type": "message",
  "channel": "wechat",
  "messageId": "msg_789012",
  "from": {
    "id": "wxid_sender",
    "name": "张三"
  },
  "chat": {
    "id": "xxx@chatroom",
    "type": "group",
    "name": "工作群"
  },
  "text": "@OpenClaw助手 帮我总结一下今天的会议",
  "mentions": ["bot_wxid"],
  "isMentioned": true
}

# 发送文本
curl -X POST http://localhost:3001/api/send \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_SECRET" \
  -d '{
    "to": "wxid_receiver",
    "type": "text",
    "content": "收到，正在处理..."
  }'

# 发送图片
curl -X POST http://localhost:3001/api/send \
  -H "Content-Type: application/json" \
  -d '{
    "to": "wxid_receiver",
    "type": "image",
    "url": "https://example.com/image.png"
  }'

# 发送文件
curl -X POST http://localhost:3001/api/send \
  -d '{
    "to": "wxid_receiver",
    "type": "file",
    "path": "/path/to/file.pdf",
    "filename": "report.pdf"
  }'

用户: 帮我查一下明天北京的天气
Bot: 明天北京天气：晴，温度 -5°C ~ 5°C，建议穿羽绒服。

用户: @OpenClaw助手 总结一下刚才的讨论
Bot: 刚才讨论的要点：
1. 项目进度需要加快
2. 下周三前完成设计稿
3. 周五进行代码评审

// 从 OpenClaw Agent 发送通知
await sendWechatMessage({
  to: 'xxx@chatroom',
  text: '⚠️ 服务器 CPU 使用率超过 90%，请检查！'
});

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/wechat-channel of aAAaqwq/AGI-Super-Team.

• SKILL.md
• TODO.md
• package.json
• references/wechaty-api.md
• scripts/wechat-bridge.js

Open the folder on GitHubat commit 331ecd3

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

• NeverSight/learn-skills.devdata/skills-md/aaaaqwq/agi-super-skills/wechat-channeldata/skills-md/aaaaqwq/claude-code-skills/wechat-channel