# Bluemouse

> Use this tool when you need to ensure high-quality code in your Git repository by automating code reviews and enforcing standards. Bluemouse solves problems of inconsistent coding practices, security vulnerabilities, and maintainability issues by analyzing code submissions and providing actionable feedback. It takes in Git code commits as input and outputs detailed reports on code quality, security, and compliance.

Canonical page: https://skillsregistry.net/skills/peijun1700-bluemouse  
JSON: https://api.skillsregistry.net/v1/skills/peijun1700-bluemouse

## Description

Advanced AI Code Quality Gate

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/peijun1700/Bluemouse)
- **Repository:** <https://github.com/peijun1700/bluemouse>

## 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": "peijun1700-bluemouse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/peijun1700-bluemouse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/peijun1700-bluemouse/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