What problem does it solve? Code review is inconsistent and easy to skip under time pressure. This Skill runs a structured, end-to-end review of uncommitted changes, staged diffs, or commit ranges, producing an evidence-backed tiered report (MUST-FIX / RECOMMENDED / NIT) and optionally applying fixes automatically. ## Core Features & Use Cases - Tiered Review Depth: Automatically scales review intensity (TIER 0 NANO through TIER 3 DEEP) based on diff size, file count, and risk signals like auth, payments, or DB migrations. - Parallel Audit Agents: Dispatches behavior, structure, and CQ (code quality gate) auditor sub-agents, then re-scores every finding with a confidence model before reporting. - Adversarial Cross-Model Validation: Runs cross-provider adversarial review to catch semantic bugs that mechanical scanners miss, with CRITICAL findings bypassing confidence thresholds. - Auto-Fix Modes: Default FIX-AUTO mode applies MUST-FIX and high-confidence RECOMMENDED fixes with verification; report-only, blocking-only, and batch queue modes are also supported. - Use Case: Before merging a feature branch touching payment logic, run the review to get a deployment risk score, a cited findings report, and verified automatic fixes for blocking issues. ## Quick Start Ask the assistant to review the current uncommitted changes and automatically fix any must-fix issues it finds.