What problem does it solve?
This Skill equips reviewers with a catalog of common patterns found in pull requests, including false positives, critical security vulnerabilities, performance issues, and breaking changes. It helps reviewers quickly identify recurring problems, improve the accuracy of their feedback, and avoid flagging non-issues, leading to more efficient and effective code reviews.
Core Features & Use Cases
- False Positive Detection: Learn to identify and avoid flagging issues already handled by calling code, error handlers, or type hints.
- Security Vulnerability Identification: Recognize critical patterns like SQL injection, auth bypass, hardcoded secrets, and PII in logs.
- Performance Bottleneck Recognition: Spot N+1 queries, algorithmic regressions, and missing caching that degrade application speed.
- Use Case: As an AI agent reviewing a pull request, use this skill to cross-reference potential findings against known false positive patterns before reporting, ensuring only valid and impactful issues are flagged.
Quick Start
Use the pr-review-common-patterns skill to check if the reported "missing validation" is a false positive due to validation in the caller.
