What problem does it solve? Finding cross-site scripting (XSS) vulnerabilities requires distinguishing real exploitable reflections from safe output encoding, and most reports get rejected because the payload was HTML-encoded, self-XSS only, or never actually executed in a browser. This Skill provides a structured hunting methodology built from 174 public bug bounty reports so you can find, confirm, and chain XSS into reportable impact. ## Core Features & Use Cases - Reflection Verification Discipline: Uses unique numeric canaries and marker hygiene rules to separate your payload from page decoys and correctly identify HTML-encoded (safe) versus unescaped (vulnerable) output. - Full-Spectrum Coverage: Step-by-step methodology for reflected, stored, DOM-based, blind (OOB-confirmed), SVG upload, markdown renderer, and cache-poisoning XSS vectors, plus CSP, sanitizer, WAF, and AngularJS sandbox bypass techniques. - Chain Composition Guidance: Six documented chains that escalate standalone XSS into account takeover, token exfiltration, and privilege escalation, with Gate 0 validation questions to confirm reportable impact before submission. - Use Case: While testing a target's search endpoint, you probe with a unique canary, confirm unescaped reflection, escalate to a stored payload in a profile field, and chain it with a CSRF endpoint to demonstrate account takeover in the report. ## Quick Start Ask the AI to hunt for XSS vulnerabilities on your authorized target URL, starting by mapping reflection points and probing them with a unique canary payload.