code-review-checklist

Guide code reviews with structured checks for correctness, security, performance, and quality.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/devon87warren-afk/eboss-monorepo --skill code-review-checklist-devon87warren-afk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-checklist
Source: https://github.com/devon87warren-afk/eboss-monorepo/tree/main/apps/manager/.agent/skills/code-review-checklist
Command: npx skills add https://github.com/devon87warren-afk/eboss-monorepo --skill code-review-checklist-devon87warren-afk

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 code review process, especially for AI-related projects.

Core Features & Use Cases

  • Structured Review: Guides reviewers through correctness, security, performance, and code quality checks.
  • AI-Specific Checks: Includes guidelines for reviewing AI logic, hallucinations, and prompt engineering safety.
  • Anti-Pattern Identification: Highlights common coding anti-patterns to avoid.
  • Comment Guide: Provides a standardized way to leave review comments.
  • Use Case: A developer submits a pull request for a new AI feature. The reviewer uses this checklist to systematically verify the code's robustness, security against prompt injection, and adherence to best practices.

Quick Start

Use the code-review-checklist skill to review the attached 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
How do I review code for prompt injection vulnerabilities in LLM applications?

A code review checklist for LLM applications evaluates correctness, security, performance, and code quality. It identifies common anti-patterns and provides a standardized guide for leaving review comments to ensure consistent evaluations.

What are common anti-patterns to look for during an AI code review?

A code review checklist for LLM applications evaluates correctness, security, performance, and code quality. It identifies common anti-patterns and provides a standardized guide for leaving review comments to ensure consistent evaluations.

How do I systematically check a pull request for security and performance best practices?

A code review checklist for LLM applications evaluates correctness, security, performance, and code quality. It identifies common anti-patterns and provides a standardized guide for leaving review comments to ensure consistent evaluations.

Does a standard code review checklist cover AI and LLM specific logic?

A code review checklist for LLM applications evaluates correctness, security, performance, and code quality. It identifies common anti-patterns and provides a standardized guide for leaving review comments to ensure consistent evaluations.

What is the best way to standardize code review comments for security and quality?

A code review checklist for LLM applications evaluates correctness, security, performance, and code quality. It identifies common anti-patterns and provides a standardized guide for leaving review comments to ensure consistent evaluations.