# ARIA

> ARIA — ahmedeldamaty20-aria. Use this tool when you need to automate code reviews and improve code quality in your GitHub repositories. ARIA solves problems related to manual code review, such as reducing errors and increasing development efficiency, by providing intelligent analysis through a multi-layer architecture. It takes GitHub repositories as input and outputs detailed code review reports, making it ideal for developers and teams looking to streamline their coding process.

Canonical page: https://skillsregistry.net/skills/ahmedeldamaty20-aria  
JSON: https://api.skillsregistry.net/v1/skills/ahmedeldamaty20-aria

## Description

An AI-powered code review platform that connects GitHub repositories to intelligent analysis through a multi-layer architecture.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ahmedeldamaty20/ARIA)

## 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": "ahmedeldamaty20-aria"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahmedeldamaty20-aria` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahmedeldamaty20-aria/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