Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Weclaw Wechat Ai Bridge

FSecurity

Connect WeChat to AI agents (Claude, Codex, Gemini, Kimi, etc.) using the WeClaw bridge in Go.

81 stars
0 votes
0 copies
0 views
Added 9/19/2026
ai-agentsgobashdockergitapibackendci/cd

Works with

cursorterminalcliapi

Security Analysis

F21/100
criticalPipes output to a shell interpreter
mediumUses curl or wget to download content
criticalAccesses sensitive system or user directories
criticalModifies startup scripts or system services for persistence
criticalModifies startup scripts or system services for persistence
criticalModifies startup scripts or system services for persistence
criticalDownloads and executes remote scripts — classic supply chain attack

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add reason-machines/trending-skills --skill weclaw-wechat-ai-bridge --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Weclaw Wechat Ai Bridge?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Weclaw Wechat Ai Bridge
[![Security: F — Skills Directory](https://www.skillsdirectory.com/api/skills/reason-machines-weclaw-wechat-ai-bridge/badge)](https://www.skillsdirectory.com/skills/reason-machines-weclaw-wechat-ai-bridge)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: weclaw-wechat-ai-bridge
description: Connect WeChat to AI agents (Claude, Codex, Gemini, Kimi, etc.) using the WeClaw bridge in Go.
triggers:
  - connect wechat to claude
  - wechat ai agent bridge
  - weclaw setup and configuration
  - send messages from wechat to ai
  - weclaw agent integration
  - bridge wechat with openai compatible api
  - weclaw proactive messaging
  - wechat bot with ai backend
---

# WeClaw — WeChat AI Agent Bridge

> Skill by [ara.so](https://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

```bash
# 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

```bash
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

```json
{
  "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

| Variable | Purpose |
|----------|---------|
| `WECLAW_DEFAULT_AGENT` | Override default agent at runtime |
| `WECLAW_API_ADDR` | Change local HTTP API address (default `127.0.0.1:18011`) |
| `OPENCLAW_GATEWAY_URL` | HTTP agent endpoint |
| `OPENCLAW_GATEWAY_TOKEN` | HTTP agent API token |

---

## Agent Modes

| Mode | Process model | Best for |
|------|--------------|----------|
| `acp` | Long-running subprocess, JSON-RPC over stdio | Claude, Codex, Kimi, Gemini — fastest, session reuse |
| `cli` | New process per message, `--resume` for sessions | `claude -p`, `codex exec` |
| `http` | OpenAI-compatible `/v1/chat/completions` | Any REST-accessible model |

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

---

## Chat Commands (send as WeChat messages)

| Command | Action |
|---------|--------|
| `hello` | Send to default agent |
| `/codex write a sort function` | Route to named agent |
| `/cc explain this code` | Use alias (`/cc` → claude) |
| `/claude` | Switch default agent to Claude (persisted) |
| `/status` | Show active agent info |
| `/help` | List available commands |

### Built-in Aliases

| Alias | Agent |
|-------|-------|
| `/cc` | claude |
| `/cx` | codex |
| `/cs` | cursor |
| `/km` | kimi |
| `/gm` | gemini |
| `/ocd` | opencode |
| `/oc` | openclaw |

---

## Proactive Messaging — CLI

```bash
# 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.

```bash
# 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:
```bash
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:

```go
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

```bash
# 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):**
```bash
cp service/com.fastclaw.weclaw.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.fastclaw.weclaw.plist
```

**Linux (systemd):**
```bash
sudo cp service/weclaw.service /etc/systemd/system/
sudo systemctl enable --now weclaw
journalctl -u weclaw -f
```

---

## Development

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

**Releasing:**
```bash
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
```json
{
  "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

| Symptom | Fix |
|---------|-----|
| QR code not appearing | Run `weclaw login` explicitly; ensure terminal supports UTF-8 |
| Agent not auto-detected | Check binary is on `$PATH`; run `weclaw status` |
| `connection refused` on HTTP API | Confirm `weclaw start` is running; check `WECLAW_API_ADDR` |
| Agent permission prompts block responses | Add `--dangerously-skip-permissions` (Claude) or `--skip-git-repo-check` (Codex) to `args`; or use ACP mode |
| Docker — no agent binary | Mount binary: `-v /usr/local/bin/claude:/usr/local/bin/claude`; or use HTTP mode |
| Markdown not rendering | WeClaw strips markdown automatically for WeChat plain-text display; this is expected |
| Logs | `tail -f ~/.weclaw/weclaw.log` or `docker logs -f weclaw` |

Attribution

reason-machinesreason-machines
View sourceMore from reason-machines →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

1023331 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3331 votes

catchup

Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.

611 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →