What problem does it solve? After implementing a plan, code often drifts from the original intent, introduces security or reliability risks, or breaks existing conventions. This Skill compares the actual implementation against the plan to catch drift, dangerous decisions, and pattern misuse before they compound. ## Core Features & Use Cases - Plan Drift Detection: Uses parallel sub-agents to verify each planned change matches the implementation, flagging missing, drifted, or unplanned changes. - Safety & Quality Scan: Checks changed files for security, performance, reliability, and data-safety issues, plus pattern consistency with existing code. - Structured Report & Interactive Triage: Produces a severity-ranked report saved to the change directory, then walks each finding through an interactive triage with fix options, lesson recording, and resume support. - Use Case: After finishing phase 3 of a multi-phase feature, run a phase-scoped review to confirm the implementation matches the plan, automated success criteria pass, and no unplanned API surface was added. ## Quick Start Ask the AI to review the implementation of the current change against its plan and triage any findings.