# aat

> aat — gburgyan-aat. Use this tool when you need to streamline API testing and integration across multiple environments and layers. The aat tool generates long-chain integration tests, CI-ready runs, and an MCP server from a single YAML configuration, solving problems of test complexity and matrix coverage. It integrates with git, providing a seamless workflow for continuous testing and deployment.

Canonical page: https://skillsregistry.net/skills/gburgyan-aat  
JSON: https://api.skillsregistry.net/v1/skills/gburgyan-aat

## Description

Model your API as a graph once. Long-chain integration tests, layer × environment matrices, CI-ready runs, and an MCP server — all from the same YAML.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gburgyan/aat)

## 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": "gburgyan-aat"
    }
  }
}
```

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