# WeChat Mini-Program Agent

> Use this tool when you need to automate and test WeChat Mini Programs, enabling efficient scenario testing, UI interaction, and DOM inspection. It solves problems related to manual testing and automation of mini programs, providing a predictable test flow through its serial execution model. The agent takes in test scenarios and outputs test results, screenshots, and DOM inspections, making it ideal for agent-first development workflows.

Canonical page: https://skillsregistry.net/skills/chaixueyuan-weapp-agent  
JSON: https://api.skillsregistry.net/v1/skills/chaixueyuan-weapp-agent

## Description

WeChat Mini-Program Agent enables AI-driven automation and testing of WeChat Mini Programs through a wrapper around miniprogram-automator's WebSocket interface to WeChat DevTools. Supported operations include page navigation, screenshot capture, UI element interaction, DOM inspection, and scenario testing. A serial execution model ensures predictable test flows for agent-first development workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chaixueyuan-weapp-agent)
- **Repository:** <https://github.com/chaixueyuan/weapp-agent-mcp>

## 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": "chaixueyuan-weapp-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chaixueyuan-weapp-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chaixueyuan-weapp-agent/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