What problem does it solve?
Critically evaluate code review feedback from another AI model or reviewer. Use this skill when someone pastes review findings from another model (GPT, Gemini, Copilot, etc.) or another reviewer and wants you to verify whether the findings are real. Also trigger on phrases like "peer review," "check this feedback," "another model found these issues," "evaluate this review," or "here's what [model] said." This skill prevents blindly applying bad suggestions by treating every finding as a hypothesis to verify against the actual code.
Core Features & Use Cases
- Structured evaluation: Verify each finding against the actual code and context.
- Context-aware decision-making: Distinguish real issues from false positives or intentional patterns.
- Actionable remediation guidance: Provide prioritized fixes and rationale based on project goals and constraints.
- Use Case: When a reviewer flags potential issues, verify their existence by inspecting the relevant files, dependencies, and surrounding code to determine if the finding is valid.
Quick Start
Verify a provided review finding against the actual codebase to validate its accuracy.