code-review-checklist

To review code for AI vulnerabilities, apply a structured checklist covering AI logic, hallucinations, and prompt injection. This guide provides specific checks for LLM patterns and prompt engineering to identify common anti-patterns during pull requests.

A pull request code review checklist should include checks for correctness, security, performance, code quality, testing, and documentation. This Skill provides that structured checklist to maintain a high bar for quality and security across projects.

The best way to categorize code review comments is using a system of blocking, suggestion, nit, and question. This Skill provides a clear comment categorization guide to help reviewers prioritize feedback effectively.

Yes, this code review checklist covers security and performance best practices. It includes structured checks for vulnerabilities and performance bottlenecks alongside code quality, testing, and documentation guidelines.

To identify anti-patterns in LLM prompt engineering, use a checklist that highlights common mistakes and suggests best practices. This Skill includes specific checks for AI logic and prompt engineering patterns to catch anti-patterns.