What problem does it solve? AI-assisted coding often produces work that claims to be complete but contains stubs, placeholders, or unwired components. This Skill verifies that implemented work actually achieves the stated phase goal through empirical evidence rather than trusting summary claims. ## Core Features & Use Cases - Three-Level Artifact Verification: Checks that required files exist, contain substantive implementations (not stubs), and are properly wired to other components. - Stub and Anti-Pattern Detection: Scans for TODO comments, placeholder text, empty implementations, and disconnected wiring patterns in React components and API routes. - Re-Verification Mode: Detects previous VERIFICATION.md files and runs optimized regression checks on passed items while fully re-verifying failed gaps. - Use Case: After an AI assistant completes a chat feature phase, run verification to confirm Chat.tsx actually fetches from the API, renders real message state, and contains no placeholder handlers before marking the phase done. ## Quick Start Ask the AI to verify phase 3 of the project against its must-haves and produce a VERIFICATION.md report.