What problem does it solve? Security reviews often stop at static warnings without proving exploitability, or rely on black-box scans that miss code-level context. This Skill combines white-box source-to-sink tracing with optional runtime exploit verification, producing deduplicated, scored findings with file:line evidence. ## Core Features & Use Cases - Seven-dimension coverage (PT1-PT7): Injection, XSS, auth/session, authorization/IDOR, SSRF, input vectors, and business logic flaws, plus optional runtime checks and CMS overlays for WordPress, Joomla, and Drupal. - Stack-aware analysis: Detects frameworks (Django, Next.js, FastAPI, NestJS, Rails-style stacks) and selects matching sources, sinks, safe patterns, and CodeSift tools before dispatching agents. - Deterministic finding pipeline: Candidate schemas, canonical-key deduplication, confidence filters, MUST-GATE enforcement, coverage gates, and centralized scoring with grades and verdicts. - Use Case: Before a release, run a pentest against your staging URL and codebase to verify that flagged SQL injection and broken access control paths are actually exploitable, then receive a scored report with remediation evidence. ## Quick Start Ask the AI to run a penetration test on the current project with the staging URL, for example: run zuvo:pentest on this repo with --url http://localhost:3000 and verify the findings. Safety gates require explicit authorization, block production targets by default, cap request rates, and scrub PII from output.