What problem does it solve? AI coding agents often overstate results, widen scope into unrelated refactors, or claim fixes without running validation. This Skill enforces bounded patch discipline, honest verification language, and explicit separation between checked and unverified behavior for coding tasks. ## Core Features & Use Cases - Bounded Patch Discipline: Isolates the smallest responsible unit, patches narrowly, and blocks repo-wide rewrites disguised as fixes. - Structured Debugging Loop: Applies a symptom-to-cause-to-fix-to-verification workflow with ranked candidate causes and reversible probes first. - Verification Honesty: Separates what changed, what was checked, and what remains unverified, prohibiting words like "fixed" or "done" without evidence. - Use Case: When asked to fix a failing function, the agent reads only the active slice, proposes a minimal diff, runs the strongest available local check, and reports integration risks that still need human review. ## Quick Start Ask the agent to debug and patch a specific failing function while keeping the change scope minimal and reporting exactly what was verified.