What problem does it solve? Equal test coverage across all features wastes effort on low-risk areas while leaving critical paths like checkout and authentication under-tested. This Skill quantifies risk as impact multiplied by probability, so testing effort goes where failures would hurt most. ## Core Features & Use Cases - Risk Scoring and Heatmap: Classifies every feature on 1-5 impact and probability scales, computes composite scores, and plots them on a 5x5 heatmap with CRITICAL, HIGH, MEDIUM, and LOW zones. - Failure Mode Analysis: For every item scoring 10 or above, documents trigger, blast radius, detection method, current mitigation, and gaps, including dedicated AI/LLM failure classes such as hallucination, prompt injection, and privacy leaks. - Coverage Alignment and Reassessment: Prescribes per-zone unit, integration, E2E, and monitoring targets, runs gap analysis against current coverage, and defines reassessment triggers after incidents, dependency changes, or quarterly reviews. - Use Case: Before writing a test plan for a new e-commerce release, run this Skill to discover that checkout scores 20 (CRITICAL) while the settings page scores 4 (LOW), then allocate 90% branch coverage and load tests to checkout instead of spreading effort evenly. ## Quick Start Ask the AI to build a risk matrix for your product by scoring each feature on impact and probability, then map test coverage to the resulting risk zones.
