What problem does it solve? After finishing implementation work, it is easy to declare completion without a rigorous final check. This Skill ensures a structured acceptance review happens before dsmm implementation work is considered done, preventing stale or conditional verdicts from slipping through. ## Core Features & Use Cases - Evidence Collection: Gathers the current diff, test results, diagnostics, and user-visible verification evidence before requesting review. - Acceptance Review Request: Asks the selected reviewer to check the implementation against the originally requested behavior. - Verdict Quality Control: Rejects stale or conditional review verdicts so only current, definitive acceptance counts. - Use Case: After completing a dsmm feature implementation, invoke this Skill to package the diff and test evidence and obtain a final acceptance verdict from the reviewer before marking the work complete. ## Quick Start Ask the AI to request a final code review for the completed dsmm implementation using the current diff and test evidence.