What problem does it solve? Security reviews often produce generic checklists disconnected from the actual codebase. This Skill produces an AppSec-grade threat model anchored to real repository evidence, with explicit assumptions, prioritized abuse paths, and concrete mitigations. ## Core Features & Use Cases - Evidence-Anchored Analysis: Enumerates trust boundaries, assets, entry points, and attacker capabilities, with every architectural claim tied to a repo path or symbol. - Prioritized Threat Enumeration: Builds multi-step abuse paths with qualitative likelihood and impact reasoning, producing a stable threat table (TM-001, TM-002, ...) with critical/high/medium/low priorities. - Assumption Validation Workflow: Pauses to confirm deployment model, exposure, and data sensitivity with the user before finalizing the report. - Use Case: Point the Skill at a web service repository before a release; it maps endpoints and auth flows, identifies the top abuse paths such as pre-auth RCE or cross-tenant access, and writes a Markdown threat model with a Mermaid diagram and focus paths for manual review. ## Quick Start Ask the AI to threat model this repository and write the resulting Markdown report to a file named after the repo.