# weclaw

> weclaw — jonislutheran87-weclaw. Use this tool when you need to automate chat replies and manage WeChat accounts, bridging the gap between WeChat and AI agents like Claude, Codex, and Gemini. It solves problems of manual chat response and account management, providing seamless integration with AI-powered automation. With git capabilities, it offers a flexible interface for inputs and outputs, enabling efficient automation workflows.

Canonical page: https://skillsregistry.net/skills/jonislutheran87-weclaw  
JSON: https://api.skillsregistry.net/v1/skills/jonislutheran87-weclaw

## Description

Bridge WeChat to AI agents like Claude, Codex, and Gemini for automated chat replies and account management

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jonislutheran87/weclaw)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jonislutheran87-weclaw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonislutheran87-weclaw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonislutheran87-weclaw/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt