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code-review-checklist

Generate a structured code review checklist covering security, correctness, and documentation.

1|Updated Jun 23, 2026
Search Tags:#code quality#code review#checklist#security#AI code
One-click install
npx skills add https://github.com/phuonghx/aim-cli --skill code-review-checklist-phuonghx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review-checklist
Source: https://github.com/phuonghx/aim-cli/tree/main/aim/templates/aim-agents/skills/code-review-checklist
Command: npx skills add https://github.com/phuonghx/aim-cli --skill code-review-checklist-phuonghx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill offers a structured approach to code reviews, ensuring thorough coverage of correctness, security, performance, and documentation, particularly tailored for AI- and LLM-driven code.

Core Features & Use Cases

  • Comprehensive Checklist: Offers a detailed checklist for code review, including sections on correctness, security, performance, quality, testing, and documentation.
  • AI/LLM-Specific Patterns: Includes patterns and anti-patterns specific to AI- and LLM-driven code.
  • Review Tagging: Provides a tagging convention for review comments to easily identify severity and action required.
  • Use Case: Ideal for code review during pull requests or auditing changes before merge, ensuring code quality and security.

Quick Start

Utilize the code-review-checklist skill to review the latest commit in your repository.

Frequently Asked Questions about code-review-checklist

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

FAQPage Schema
How do I use a code review checklist for pull requests?▼

A code review checklist streamlines pull request reviews by running a Python script that analyzes your codebase against criteria for correctness, security, performance, and documentation. It provides structured coverage to ensure code quality before merging.

What should I look for when reviewing AI code and LLM-driven applications?▼

When reviewing AI code, look for specific anti-patterns related to LLM logic alongside standard security and correctness checks. This checklist provides targeted patterns to evaluate the unique risks and quality issues of AI- and LLM-driven code.

Do I need Python to run the code review script?▼

Yes, you need Python installed to run the review script and analyze the codebase. The Skill relies on a Python script to execute its automated checks and generate the structured review output.

How do I tag severity and action required in code review comments?▼

To tag severity in code review comments, use the provided tagging convention included in the checklist. This allows you to easily identify and categorize the action required for each piece of review feedback.

What is the best way to audit code changes before a merge?▼

The best way to audit code changes before a merge is to apply a comprehensive code review checklist covering correctness, security, performance, quality, testing, and documentation. This structured approach ensures thorough evaluation of all codebase modifications.

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