What problem does it solve? Plans, architectures, and decisions often contain hidden faulty assumptions, unaccounted-for risks, and unverified claims that only surface after costly failure. This Skill provides a rigorous skeptical review that finds flaws before reality does. ## Core Features & Use Cases - Assumption Audit: Lists load-bearing assumptions with evidence status (observed, inferred, unverified), consequences if wrong, and the cheapest falsification check for each. - Failure Mode Analysis: Ranks the most likely ways a plan fails with cost estimates, early warning signals, mitigations, and decision gates. - Proof Plan & Verdict: Prioritizes the checks that would most change the decision, proposes stronger alternatives, and delivers a clear verdict: proceed, proceed with fixes, or rethink. - Use Case: Before committing to a database migration plan, ask for an adversarial review to surface missing rollback procedures, unverified performance assumptions, and sequencing risks. ## Quick Start Ask the AI to adversarially review your plan or architecture document and identify what could go wrong before you commit to it.
