# io.github.rog0x/testing

> Use this tool when you need to generate comprehensive tests, create mock objects, and analyze code coverage for AI agents, solving problems of inadequate testing and validation. It provides inputs for test scenarios and outputs detailed coverage analysis, enabling data-driven decision making. Ideal for use in development and quality assurance contexts where thorough testing is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-rog0x-testing  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rog0x-testing

## Description

Test generation, mocks, coverage analysis for AI agents

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rog0x%2Ftesting)
- **Repository:** <https://github.com/rog0x/mcp-testing-tools>

## 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": "io-github-rog0x-testing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-testing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-testing/pull`

---
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