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weclaw-wechat-ai-bridgeweclaw 微信艾桥

Agent Skill

weclaw-wechat-ai-bridge 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

14,935

周安装

635

GitHub Stars

39

下载量

5,232
CodexClaudeCursorGemini CLI

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

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:weclaw-wechat-ai-bridge(weclaw 微信艾桥)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/weclaw-wechat-ai-bridge
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill weclaw-wechat-ai-bridge
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill weclaw-wechat-ai-bridge

简介

Weclaw 微信 AI 桥接器实现自然语言指令与微信功能的智能对接。

  • 适合希望用对话方式控制微信操作的进阶用户使用。
  • 支持语音转指令、意图识别与动作执行的一体化流程。
  • 涉及账号登录与消息发送,存在账号安全风险需谨慎启用。
  • 建议仅在可信环境下运行,并定期审查操作日志。weclaw-wechat-ai-bridge 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

WeClaw — WeChat AI Agent Bridge

Skill by ara.so — Daily 2026 Skills collection.

WeClaw connects WeChat to AI agents (Claude, Codex, Gemini, Kimi, OpenClaw, etc.) via a Go-based bridge. It handles QR-code login, message routing, media conversion, and agent lifecycle. Supports three agent modes: ACP (JSON-RPC subprocess, fastest), CLI (new process per message), and HTTP (OpenAI-compatible REST).


Installation

# One-line installer
curl -sSL https://raw.githubusercontent.com/fastclaw-ai/weclaw/main/install.sh | sh

# Via Go toolchain
go install github.com/fastclaw-ai/weclaw@latest

# Via Docker
docker run -it -v ~/.weclaw:/root/.weclaw ghcr.io/fastclaw-ai/weclaw start

First-Run Flow

weclaw start        # Shows QR code → scan with WeChat → auto-detects agents → saves config
weclaw login        # Add/re-authenticate a WeChat account
weclaw status       # Show running state and active agent
weclaw stop         # Stop the background daemon
weclaw start -f     # Foreground mode (debug/verbose)

Logs: ~/.weclaw/weclaw.log Config: ~/.weclaw/config.json


Configuration

{
  "default_agent": "claude",
  "agents": {
    "claude": {
      "type": "acp",
      "command": "/usr/local/bin/claude-agent-acp",
      "model": "sonnet"
    },
    "codex": {
      "type": "acp",
      "command": "/usr/local/bin/codex-acp"
    },
    "claude-cli": {
      "type": "cli",
      "command": "/usr/local/bin/claude",
      "args": ["--dangerously-skip-permissions"]
    },
    "codex-cli": {
      "type": "cli",
      "command": "/usr/local/bin/codex",
      "args": ["--skip-git-repo-check"]
    },
    "openclaw": {
      "type": "http",
      "endpoint": "https://api.example.com/v1/chat/completions",
      "api_key": "$OPENCLAW_GATEWAY_TOKEN",
      "model": "openclaw:main"
    }
  }
}

Environment Variables

VariablePurpose
WECLAW_DEFAULT_AGENTOverride default agent at runtime
WECLAW_API_ADDRChange local HTTP API address (default 127.0.0.1:18011)
OPENCLAW_GATEWAY_URLHTTP agent endpoint
OPENCLAW_GATEWAY_TOKENHTTP agent API token

Agent Modes

ModeProcess modelBest for
acpLong-running subprocess, JSON-RPC over stdioClaude, Codex, Kimi, Gemini — fastest, session reuse
cliNew process per message, --resume for sessionsclaude -p, codex exec
httpOpenAI-compatible /v1/chat/completionsAny REST-accessible model

Auto-detection prefers acp over cli when both binaries exist.


Chat Commands (send as WeChat messages)

CommandAction
helloSend to default agent
/codex write a sort functionRoute to named agent
/cc explain this codeUse alias (/cc → claude)
/claudeSwitch default agent to Claude (persisted)
/statusShow active agent info
/helpList available commands

Built-in Aliases

AliasAgent
/ccclaude
/cxcodex
/cscursor
/kmkimi
/gmgemini
/ocdopencode
/ocopenclaw

Proactive Messaging — CLI

# Send plain text
weclaw send --to "user_id@im.wechat" --text "Hello from WeClaw"

# Send an image
weclaw send --to "user_id@im.wechat" --media "https://example.com/photo.png"

# Send text + media together
weclaw send --to "user_id@im.wechat" \
  --text "Check this out" \
  --media "https://example.com/photo.png"

# Send a file
weclaw send --to "user_id@im.wechat" --media "https://example.com/report.pdf"

Proactive Messaging — HTTP API

The local API listens on 127.0.0.1:18011 while weclaw start is running.

# Send text
curl -X POST http://127.0.0.1:18011/api/send \
  -H "Content-Type: application/json" \
  -d '{"to": "user_id@im.wechat", "text": "Hello from WeClaw"}'

# Send image
curl -X POST http://127.0.0.1:18011/api/send \
  -H "Content-Type: application/json" \
  -d '{"to": "user_id@im.wechat", "media_url": "https://example.com/photo.png"}'

# Send text + media
curl -X POST http://127.0.0.1:18011/api/send \
  -H "Content-Type: application/json" \
  -d '{"to": "user_id@im.wechat", "text": "See this", "media_url": "https://example.com/photo.png"}'

Supported media types: png, jpg, gif, webp, mp4, mov, pdf, doc, zip.

Change listen address:

WECLAW_API_ADDR=0.0.0.0:18011 weclaw start

Go Integration Example

Call the WeClaw HTTP API from a Go service to send notifications:

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
	"os"
)

type SendRequest struct {
	To       string `json:"to"`
	Text     string `json:"text,omitempty"`
	MediaURL string `json:"media_url,omitempty"`
}

type SendResponse struct {
	OK      bool   `json:"ok"`
	Message string `json:"message,omitempty"`
}

func sendToWeChat(to, text, mediaURL string) error {
	apiAddr := os.Getenv("WECLAW_API_ADDR")
	if apiAddr == "" {
		apiAddr = "127.0.0.1:18011"
	}

	req := SendRequest{To: to, Text: text, MediaURL: mediaURL}
	body, err := json.Marshal(req)
	if err != nil {
		return fmt.Errorf("marshal: %w", err)
	}

	resp, err := http.Post(
		fmt.Sprintf("http://%s/api/send", apiAddr),
		"application/json",
		bytes.NewReader(body),
	)
	if err != nil {
		return fmt.Errorf("post: %w", err)
	}
	defer resp.Body.Close()

	var result SendResponse
	if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
		return fmt.Errorf("decode: %w", err)
	}
	if !result.OK {
		return fmt.Errorf("weclaw error: %s", result.Message)
	}
	return nil
}

func main() {
	recipient := os.Getenv("WECHAT_RECIPIENT_ID") // e.g. "user_id@im.wechat"
	if err := sendToWeChat(recipient, "Build succeeded ✅", ""); err != nil {
		fmt.Fprintf(os.Stderr, "failed: %v\n", err)
		os.Exit(1)
	}
	fmt.Println("Message sent.")
}

Docker Setup

# Build image
docker build -t weclaw .

# Step 1: Interactive login (scan QR code)
docker run -it -v ~/.weclaw:/root/.weclaw weclaw login

# Step 2: Run daemon with HTTP agent
docker run -d --name weclaw \
  -v ~/.weclaw:/root/.weclaw \
  -e OPENCLAW_GATEWAY_URL=https://api.example.com \
  -e OPENCLAW_GATEWAY_TOKEN="$OPENCLAW_GATEWAY_TOKEN" \
  weclaw

# Expose the local API externally (bind carefully — no auth by default)
docker run -d --name weclaw \
  -v ~/.weclaw:/root/.weclaw \
  -e WECLAW_API_ADDR=0.0.0.0:18011 \
  -p 18011:18011 \
  -e OPENCLAW_GATEWAY_TOKEN="$OPENCLAW_GATEWAY_TOKEN" \
  weclaw

docker logs -f weclaw
ACP/CLI agents require the agent binary inside the container. Mount the binary or build a custom image. HTTP agents work out of the box.

System Service (Auto-start)

macOS (launchd):

cp service/com.fastclaw.weclaw.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.fastclaw.weclaw.plist

Linux (systemd):

sudo cp service/weclaw.service /etc/systemd/system/
sudo systemctl enable --now weclaw
journalctl -u weclaw -f

Development

make dev                        # Hot reload
go build -o weclaw .            # Build binary
./weclaw start -f               # Run in foreground

Releasing:

git tag v0.1.0
git push origin v0.1.0
# GitHub Actions builds darwin/linux × amd64/arm64 and uploads release artifacts

Common Patterns

Pattern: Per-user agent routing

Send /claude or /codex as a WeChat message to switch the default agent. The choice persists in ~/.weclaw/config.json across restarts.

Pattern: CI/CD build notifications

After a build, call weclaw send or POST to the HTTP API to push results to a WeChat contact or group.

Pattern: Media from agent

If an agent reply contains ![alt](https://...), WeClaw auto-downloads, AES-128-ECB encrypts, uploads to WeChat CDN, and delivers as a native image message — no extra config needed.

Pattern: Disable permission prompts for headless use

{
  "claude": { "type": "cli", "command": "/usr/local/bin/claude",
               "args": ["--dangerously-skip-permissions"] },
  "codex":  { "type": "cli", "command": "/usr/local/bin/codex",
               "args": ["--skip-git-repo-check"] }
}

ACP agents handle permissions automatically and do not need these flags.


Troubleshooting

SymptomFix
QR code not appearingRun weclaw login explicitly; ensure terminal supports UTF-8
Agent not auto-detectedCheck binary is on $PATH; run weclaw status
connection refused on HTTP APIConfirm weclaw start is running; check WECLAW_API_ADDR
Agent permission prompts block responsesAdd --dangerously-skip-permissions (Claude) or --skip-git-repo-check (Codex) to args; or use ACP mode
Docker — no agent binaryMount binary: -v /usr/local/bin/claude:/usr/local/bin/claude; or use HTTP mode
Markdown not renderingWeClaw strips markdown automatically for WeChat plain-text display; this is expected
Logstail -f ~/.weclaw/weclaw.log or docker logs -f weclaw

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

能力 4

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

Codex

34.01%
按下载量换算1,779

Claude

30%
按下载量换算1,570

Cursor

19.05%
按下载量换算997

Gemini CLI

8.72%
按下载量换算456

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

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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