code-review

Identify and report code quality risks, bugs, and security issues in changed code.

83|9|Updated May 6, 2026
One-click install
npx skills add https://github.com/compozy/skeeper --skill code-review-compozy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/compozy/skeeper/tree/main/.agents/skills/coderabbit-review
Command: npx skills add https://github.com/compozy/skeeper --skill code-review-compozy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-assisted code review helps teams identify bugs, security risks, and quality issues early, speeding up merges and improving code quality.

Core Features & Use Cases

  • Automated review: analyzes changed code to surface defects, design issues, and security risks.
  • Scope flexibility: supports reviews on staged, committed, or all changes, with optional directory selection and base-branch comparison.
  • Actionable guidance: generates prioritized findings and clear fix recommendations for developers and reviewers.

Quick Start

Run an autonomous code review on the current repository with the agent flag to generate an actionable report.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I run an AI code review on staged or committed changes?

You can run an automated AI code review on staged, committed, or full repository changes. The tool analyzes the changed code to surface defects, design issues, and security risks, then generates prioritized findings and clear fix recommendations.

What is the best way to find security risks and bugs in a pull request?

The best way to find security risks and bugs in a pull request is using automated AI review. It analyzes changed code to identify quality risks and security issues, providing structured findings and recommended fixes for developers and reviewers.

Can I scope a code review to a specific directory or base branch?

Yes, you can scope your code review by specifying directories and a base branch for comparison. This scope flexibility allows you to tailor the review workflow to specific parts of your repository instead of analyzing all changes.

Does AI-assisted code review work without external dependencies?

Yes, this AI-assisted code review operates without external dependencies. It autonomously analyzes your codebase changes, identifies quality risks and security issues, and outputs structured findings with recommended fixes.

How does automated static analysis identify code quality issues?

Automated static analysis identifies code quality issues by applying AI to examine changed code. It detects defects, design flaws, and security vulnerabilities early, generating actionable guidance and prioritized findings for developers.

What are the limitations of using AI for code review?

While AI code review speeds up merges and improves quality by finding bugs and security risks, its limitation is that it focuses on changed code within specified scopes. It provides recommended fixes but requires developer validation before applying changes.