What problem does it solve?
AI coding assistants often report tasks as "fixed", "working", or "complete" without real verification, eroding trust and shipping broken code. This Skill intercepts success claims and forces evidence-based validation before any such statement is allowed.
Core Features & Use Cases
- Claim Detection & Interception: Automatically detects trigger phrases like "works", "fixed", or "X% complete" and halts output until evidence is provided.
- Mandatory Evidence Collection: Requires live build runs, Playwright browser tests, timestamped screenshots, console error monitoring, and error-count verification for every claim.
- User Verification Gate: Blocks all fix claims until the user explicitly confirms via an AskUserQuestion prompt that the issue is actually resolved.
- Use Case: After fixing a Vue.js bug, the assistant runs
npm run build and npx vue-tsc --noEmit, captures screenshots, then asks you to confirm the fix before marking the task complete.
Quick Start
Ask the assistant to fix a bug in your project and it will run real tests, capture evidence, and request your confirmation before claiming the fix works.