code-review-checklist

Provide a structured code review checklist covering correctness, security, performance, testing, and documentation.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/Andrejr82/Caculinha_BI --skill code-review-checklist-andrejr82
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-checklist
Source: https://github.com/Andrejr82/Caculinha_BI/tree/main/.agent/skills/code-review-checklist
Command: npx skills add https://github.com/Andrejr82/Caculinha_BI --skill code-review-checklist-andrejr82

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive checklist to ensure code quality, security, and adherence to best practices during the review process, reducing bugs and vulnerabilities.

Core Features & Use Cases

  • Automated Code Review Guidance: Offers detailed checks for correctness, security, performance, code quality, testing, and documentation.
  • AI & LLM Specifics: Includes guidelines for reviewing AI-generated code, focusing on logic, hallucinations, and prompt engineering.
  • Use Case: A developer submits a pull request. The reviewer uses this checklist to systematically go through the code, ensuring all critical aspects are covered, from input validation to potential prompt injection vulnerabilities.

Quick Start

Use the code-review-checklist skill to review the provided code snippet for security vulnerabilities and adherence to best practices.

Frequently Asked Questions about code-review-checklist

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

FAQPage Schema
What should a code review checklist cover to ensure software quality and security?

A code review checklist should cover correctness, security, performance, code quality, testing, and documentation. It ensures adherence to best practices, reduces bugs, and identifies vulnerabilities during the review process.

How do I review AI-generated code for security vulnerabilities and best practices?

Review AI-generated code by checking for logic errors, hallucinations, and prompt injection vulnerabilities. Apply specific guidelines focusing on prompt engineering and output sanitization to ensure the generated code is secure.

How can I systematically check a pull request for anti-patterns and performance issues?

Systematically check a pull request by using a structured checklist to evaluate input validation, performance bottlenecks, and code quality. This facilitates adherence to best practices and identifies anti-patterns before merging.

Does this code review checklist include guidelines for prompt engineering and LLM outputs?

Yes, the code review checklist includes specific guidelines for LLM-generated code, focusing on prompt engineering and output sanitization. It helps reviewers spot potential hallucinations and logic errors in AI code.

When do I need a structured checklist for reviewing code?

You need a structured checklist for reviewing code when a developer submits a pull request and you must systematically verify all critical aspects. It provides comprehensive guidance to reduce bugs and vulnerabilities.

What is the best way to identify security vulnerabilities and anti-patterns during code reviews?

The best way to identify security vulnerabilities and anti-patterns is applying a comprehensive checklist covering input validation, security, and code quality. This ensures all critical aspects are reviewed systematically.