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Louioui
LouiouiCOMMUNITY
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code-review

Automate code reviews to identify bugs, security issues, and quality risks.

2|Updated Aug 20, 2025
Search Tags:#automation#static-analysis#quality-assurance#ai-assistant#code-review#pull-request#security-analysis
One-click install
npx skills add https://github.com/Louioui/Pawtrackr --skill code-review-louioui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Louioui/Pawtrackr/tree/main/.crush/skills/code-review
Command: npx skills add https://github.com/Louioui/Pawtrackr --skill code-review-louioui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered code review helps teams identify bugs, security issues, and quality risks in code changes without manual review, saving time and improving reliability.

Core Features & Use Cases

  • Capabilities: Finds bugs, security issues, and quality risks in changed code; groups findings by severity (Critical, Warning, Info); supports base branch/commit and directory selection for review; uses --agent output for agent-readable results and fix guidance.
  • When to Use: Use when you need thorough feedback on code quality, security, or performance, or when preparing PRs for review.
  • Use Case: Given a PR with multiple files, generate structured review results and actionable fixes.

Quick Start

Provide your code changes and run coderabbit review --agent to generate an AI-assisted code review.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI code reviews for pull requests?▼

To automate AI code reviews, you provide your code changes and run the coderabbit review --agent command to generate structured results with actionable fixes. This identifies bugs, security issues, and quality risks across branches and PRs.

What is autonomous AI-driven code review and how does it group findings?▼

Autonomous AI-driven code review analyzes code changes to find bugs, security issues, and quality risks. It groups findings by severity into Critical, Warning, and Info categories, and uses --agent output for agent-readable results.

Do I need the CodeRabbit CLI to perform static security analysis on my repository?▼

Yes, you need the CodeRabbit CLI and proper authentication to perform static security analysis on your repository. This setup enables base-branch comparisons and directory-specific analysis for agent-readable review outputs.

Can I target directory-specific code quality checks for a specific base branch?▼

Yes, you can perform directory-specific code quality checks by selecting specific directories for review. The Skill supports base branch and commit comparisons, allowing focused analysis on targeted directory changes across repositories.

What's the best way to prepare a pull request for thorough quality assurance review?▼

The best way to prepare a pull request for quality assurance review is to run coderabbit review --agent on your code changes. This generates structured, agent-readable results with actionable fixes grouped by severity before manual review.

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