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code-review

Detect bugs, security vulnerabilities, and quality risks in code changes.

Updated Mar 14, 2026
Search Tags:#developer tools#code review#security#coderabbit#quality#bug detection
One-click install
npx skills add https://github.com/marcusfelix/barney --skill code-review-marcusfelix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/marcusfelix/barney/tree/main/src/prompts/skills/code-review
Command: npx skills add https://github.com/marcusfelix/barney --skill code-review-marcusfelix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of reviewing code for bugs, security vulnerabilities, and quality issues, providing actionable feedback and suggestions for improvement.

Core Features & Use Cases

  • Automated Code Analysis: Identifies critical bugs, security risks, and quality concerns in code changes.
  • Actionable Feedback: Provides detailed explanations and suggestions for fixing identified issues.
  • Use Case: Integrate this skill into your CI/CD pipeline to automatically flag potential problems in pull requests before they are merged, ensuring higher code quality and security.

Quick Start

Use the code-review skill to analyze the current uncommitted code changes.

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 review to detect bugs and security vulnerabilities in my pull requests?▼

AI code review automates the detection of bugs, security vulnerabilities, and quality risks in code changes. This skill analyzes staged, committed, or all changes and provides actionable feedback to integrate into your CI/CD pipeline before merging pull requests.

Do I need the CodeRabbit CLI to run an AI-powered code review on my repository?▼

Yes, the CodeRabbit CLI is required for execution and authentication to perform AI-powered code reviews. It facilitates the analysis of your code changes to identify critical bugs, security risks, and quality concerns.

Can I review staged, committed, and all uncommitted code changes against a base branch?▼

Yes, you can review staged, committed, or all uncommitted code changes. The AI code review supports comparing your changes against a specified base branch or commit to isolate potential quality risks and security vulnerabilities.

What is the best way to integrate automated bug detection and quality checks into a CI/CD pipeline?▼

Integrating automated bug detection into a CI/CD pipeline involves running an AI code review on code changes before they are merged. This automatically flags potential security vulnerabilities and quality issues, providing actionable suggestions for improvement.

How does an AI code review identify quality risks and provide actionable feedback for developers?▼

AI code review identifies quality risks by analyzing code changes using artificial intelligence to detect bugs and security vulnerabilities. It provides detailed explanations and actionable feedback, suggesting specific fixes to ensure higher code quality.

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