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code-review

Automate code reviews by analyzing diffs and changes with CodeRabbit.

149|10|Updated Jan 30, 2026
Search Tags:#security#quality-assurance#ai-assistant#code-review#pull-request#diff-analysis#autonomous-review
One-click install
npx skills add https://github.com/coderabbitai/skills --skill code-review-coderabbitai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/coderabbitai/skills/tree/main/skills/code-review
Command: npx skills add https://github.com/coderabbitai/skills --skill code-review-coderabbitai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates and accelerates code reviews by analyzing diffs and changes, reducing manual review time and improving code quality.

Core Features & Use Cases

  • Finds bugs, security issues, and quality risks in code changes.
  • Groups findings by severity and supports changes in staging, committing or all changes; works across branches.
  • Provides actionable fixes and guidance, with detailed output or concise agent-optimized output for AI agents.

Quick Start

Ask CodeRabbit to review the latest changes autonomously.

Frequently Asked Questions about code-review

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

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

Automated code reviews analyze pull request diffs to find bugs, security issues, and quality risks. This Skill uses CodeRabbit to review changes across branches, staging, and commits, providing rapid feedback and actionable fixes.

Can I review local changes and staged commits before pushing?▼

Yes, you can review local changes and staged commits before pushing. The code review process analyzes diffs from local working directories and staged files, grouping findings by severity to highlight bugs and security issues early.

What is the best way to get agent-optimized output for AI code review?▼

Agent-optimized output for AI code review is generated using the --plain option. This provides concise, detailed fixes and guidance specifically formatted for AI agents to consume, rather than verbose human-readable reports.

Does autonomous code review work across different programming languages?▼

Autonomous code review works across multiple programming languages and repositories. By analyzing diffs and changes universally, it identifies security vulnerabilities and quality risks regardless of the specific language used in the pull request.

How does AI code review handle security and authentication checks?▼

AI code review handles security by applying safety checks around authentication, data handling, and proper review scoping. It identifies security issues within code changes and ensures sensitive data handling is evaluated during the diff analysis.

What are the limitations of autonomous code review for large diffs?▼

Limitations of autonomous code review for large diffs depend on proper review scoping. While it analyzes changes across branches and languages, ensuring accurate safety checks and avoiding context overflow requires scoping reviews to specific pull requests or targeted staged commits.

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