# gh-self-reviewer

> gh-self-reviewer — alesr-gh-self-reviewer. Use this tool when you need to streamline your GitHub workflow by automating the review of pull requests. The gh-self-reviewer tool solves the problem of manual review by providing a seamless way to self-review GitHub pull requests, taking Git repositories as input and outputting reviewed pull requests. It is ideal for use in MCP server environments where efficient code review is crucial.

Canonical page: https://skillsregistry.net/skills/alesr-gh-self-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/alesr-gh-self-reviewer

## Description

MCP server tool for self-review of GitHub pull requests

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/alesr/gh-self-reviewer)

## 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": "alesr-gh-self-reviewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alesr-gh-self-reviewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alesr-gh-self-reviewer/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