# io.github.Anioko/archiet-xray

> Use this tool when you need to visualize and analyze the architecture of a repository, identifying authentication coverage, potential blast radius, and readiness scores. It generates deterministic diagrams to help solve problems related to code organization, security, and maintainability. Ideal for use cases involving complex repository structures, where clear architecture maps are essential for informed decision-making.

Canonical page: https://skillsregistry.net/skills/io-github-anioko-archiet-xray  
JSON: https://api.skillsregistry.net/v1/skills/io-github-anioko-archiet-xray

## Description

Deterministic repo architecture maps: auth coverage, blast radius, readiness score, diagrams

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.2.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Anioko%2Farchiet-xray)
- **Repository:** <https://github.com/Anioko/archiet-xray>

## 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-anioko-archiet-xray"
    }
  }
}
```

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