# test-skills

> test-skills — jianjian12138-test-skills. Use this tool when you need to evaluate and test the skills of AI coding agents, or require universal QA capabilities to assess their performance. It solves problems related to precision testing and evaluation of AI-driven coding skills, providing valuable insights through its interface. Ideal for use cases involving git-based projects, where comprehensive testing and assessment of AI agents are necessary.

Canonical page: https://skillsregistry.net/skills/jianjian12138-test-skills  
JSON: https://api.skillsregistry.net/v1/skills/jianjian12138-test-skills

## Description

AI-driven Universal QA Skills, MCP Server, Precision Testing (TIA), and Evals for all AI coding agents.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/jianjian12138/test-skills)

## 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": "jianjian12138-test-skills"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jianjian12138-test-skills` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jianjian12138-test-skills/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