# io.github.paiml/pmat-agent

> Use this tool when you need to generate AI context and evaluate code quality with minimal configuration. It solves problems related to code optimization, quality assurance, and AI-powered development, providing outputs such as generated context and code quality reports from inputs like code snippets and project files. Ideal for use in software development workflows where automation and efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-paiml-pmat-agent  
JSON: https://api.skillsregistry.net/v1/skills/io-github-paiml-pmat-agent

## Description

Zero-config AI context generation and code quality toolkit with Claude Code Agent Mode support

## Trust

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

## Facts

- **Version:** 2.121.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.paiml%2Fpmat-agent)

## 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-paiml-pmat-agent"
    }
  }
}
```

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