review-code

Review local changes, files, or GitHub PRs for bugs and security issues.

1|Updated Dec 22, 2017
One-click install
npx skills add https://github.com/coreyhulen/enviroment --skill review-code-coreyhulen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-code
Source: https://github.com/coreyhulen/enviroment/tree/main/claude-init/skills/review-code
Command: npx skills add https://github.com/coreyhulen/enviroment --skill review-code-coreyhulen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of code review, identifying bugs, security vulnerabilities, and pattern violations before code is committed.

Core Features & Use Cases

  • Multi-Phase Review: Combines specialized AI agents with multiple external LLMs for comprehensive analysis.
  • Flexible Scope: Works on local uncommitted changes, specific files/directories, or entire GitHub Pull Requests.
  • Use Case: Before merging a new feature into the main branch, run /review-code to ensure the code is free of critical bugs, security flaws, and adheres to best practices, significantly reducing the risk of introducing regressions.

Quick Start

Run /review-code to perform a comprehensive review of your local uncommitted changes.

Frequently Asked Questions about review-code

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

FAQPage Schema
How do I automate AI code review for local uncommitted changes?

AI code review automates bug and security detection for local changes. You run a single command to perform a multi-phase analysis using specialized AI agents and multiple LLMs, identifying pattern violations before you commit.

Does AI code review work with GitHub pull requests?

You can review a GitHub PR by running the command with the appropriate flag. The AI agents analyze the pull request to detect bugs, security vulnerabilities, and pattern violations before merging into the main branch.

Can I configure AI code review to only check for security vulnerabilities?

You can configure the review depth using flags like --security, --quick, or --full. This targets the multi-phase LLM analysis specifically toward security issues, bugs, or comprehensive pattern violations.

What is multi-phase AI code review?

Multi-phase AI code review combines specialized AI agents with multiple external LLMs for comprehensive analysis. This mechanism detects bugs, security issues, and pattern violations across local changes or GitHub PRs.

Do I need to commit my code before running an AI bug detection scan?

You do not need to commit your code before scanning. The AI bug detection supports local uncommitted changes, specific files, and directories, allowing you to identify regressions before committing.

What's the best way to integrate AI code review into a development workflow?

The best way to integrate AI code review is running it before merging new features. It works with workflow commands like /create-plan and /create-code to ensure code is free of critical bugs and security flaws.