What problem does it solve? AI agents tend to declare "done" or "no problem" without actually verifying their work, and when asked to review large changes they often manufacture issues or over-edit. This Skill installs a disciplined verification loop that stops premature completion claims and prevents drifting review standards. ## Core Features & Use Cases - Single-pass self-proof: Before claiming completion, expose hidden assumptions, attach graded evidence to every action, and pass four gates (time match, scope match, mechanism explanation, counter-evidence). - Anti-drift standards: Establish a three-layer ruler (system constraints, task contract, step acceptance) before starting large or multi-round work, then judge every review finding against it with only three allowed verdicts. - Use Case: After a large refactor spanning thousands of lines, use this Skill to review the change against a written task contract, reporting only deviations backed by file and line evidence instead of inventing problems to appear diligent. ## Quick Start Ask the agent to run the VDD verification loop on its last change before saying it is done.