What problem does it solve? Code reviews and design reviews often conclude "no issues found" while still missing root-cause gaps, silent data loss, edge cases, and unreviewed piggyback changes. This Skill performs adversarial second-pass questioning on code changes, design documents, and analysis reports to surface risks that the first review missed. ## Core Features & Use Cases - Multi-object questioning: Applies distinct challenge strategies for bug fixes, new features, optimizations, design documents, and analysis reports produced by other skills. - Data conservation and global consistency checks: Verifies data flow, quantity, and content across consumers, traces exception handling endpoints, and re-checks the change against overall business goals and success criteria. - Piggyback change detection: Identifies unrelated "drive-by" edits in a diff and demands evidence they are safe rather than letting them ride through review. - Use Case: After a code review approves a bug fix, invoke this Skill to verify the root cause was truly fixed, callers handle the new behavior, similar functions were patched, and the fix holds under extreme conditions, producing a risk-graded challenge report. ## Quick Start Ask the AI to challenge the approved code change or design document and produce a second-pass questioning report with risk levels and improvement suggestions.