What problem does it solve?
Automated PR review pipelines often generate noisy findings that erode reviewer trust. This Skill acts as the final judgment gate, deciding whether each flagged issue is a real, user-affecting problem worth surfacing or noise that should be dropped.
Core Features & Use Cases
- Keep/Drop Verdicts: Returns an
is_valid decision for each flagged issue based on concrete criteria covering correctness, security, data loss, contract breaks, performance, and reliability defects.
- Noise Filtering: Drops overengineering suggestions, speculative what-ifs, defensive-coding paranoia, unreachable edge cases, pure style comments, and issues already handled elsewhere.
- Evidence-Based Reasoning: Requires reading the flagged code in full context, tracing call sites and input flows, and recording a focused
argumentation with a category for each verdict.
- Use Case: A multi-stage PR review pipeline flags 20 candidate issues; this Skill investigates each against the live codebase and keeps only the 4 that name a concrete trigger and consequence, such as an N+1 query on a dashboard path.
Quick Start
Apply the review validation criteria to each flagged PR issue and return a keep-or-drop verdict with reasoning for every finding.
