# Archy

> Use this tool when you need to assess and maintain the structural integrity of Python codebases, solving problems like import cycles, modularity issues, and regression of code structure. Archy scores code health and enforces layer rules, providing inputs like YAML configurations and outputs like scorecards and diff reports. It is ideal for use during AI-assisted code edits to ensure silent regressions are detected and addressed.

Canonical page: https://skillsregistry.net/skills/hslee16-archy  
JSON: https://api.skillsregistry.net/v1/skills/hslee16-archy

## Description

Architectural sensor for Python codebases. Scores structural health (modularity, acyclicity, depth, equality), detects import cycles, enforces YAML layer rules, and runs a snapshot/diff loop so AI-assisted edits do not silently regress structure.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xt2d903ufc)
- **Repository:** <https://github.com/hslee16/Archy>

## 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": "hslee16-archy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hslee16-archy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hslee16-archy/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