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 Modeling: Maps components, data flows, trust boundaries, and entry points directly to repo paths and symbols, never inventing architecture. - Prioritized Threat Enumeration: Generates attacker-goal-driven abuse paths with qualitative likelihood, impact, and priority ratings calibrated to the repo's real exposure. - Interactive Assumption Validation: Pauses to confirm deployment model, auth expectations, and data sensitivity with the user before finalizing the report. - Use Case: Point it at a web service repository to receive a Markdown threat model with a Mermaid diagram, threat table (TM-001...), and a list of focus paths for deeper manual security review. ## Quick Start Ask the AI to create a repository-grounded threat model for this codebase with prioritized abuse paths and mitigations.