What problem does it solve? Launch reviews are broad but shallow; when a single feature raises a novel or high-stakes legal issue, teams need a standalone, structured risk assessment rather than a one-line table entry. ## Core Features & Use Cases - Structured Risk Analysis: Breaks each risk into scenario, affected parties, likelihood, severity, existing mitigations, gaps, and residual risk. - Regulatory and Precedent Context: Covers active regulator attention and comparable company outcomes, with mandatory source attribution and citation verification tags. - Decision Framing: Presents 2-3 shipping options with trade-offs and a clear recommendation, ending in a next-steps decision tree. - Use Case: After a launch review flags a new AI recommendation feature, run this skill to produce a 2-4 page decision document covering what could go wrong, how likely it is, and which mitigation option to ship with. ## Quick Start Ask the assistant to run a feature risk assessment on the escalated feature, for example: "Do a deep-dive risk assessment for the new recommendation feature."