feat: CAP-989: Port 5 optimized skills to web-security capability + aem-sling-exploitation#28
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GangGreenTemperTatum merged 1 commit intoMay 28, 2026
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New skill: aem-sling-exploitation (97% review, 96% content eval) - Sling selector abuse (rawcontent, listParagraphs, form CVE-2024-26029) - Dispatcher bypass chains via selector/suffix manipulation - JCR enumeration and QueryBuilder exploitation - AEM-specific XSS gadgets (moment.js, jQuery .text(), javascript: URI) - Reference files: dispatcher-bypass-patterns.md, xss-gadgets.md Updated: blind-ssrf-chains (97% review, 95% content eval) - Added constraint assessment table — agents evaluate SSRF primitive capabilities before attempting chains, preventing wasted cycles - Replaced repo-local callback CLI references with CallbackClient tool - Consolidated duplicate examples, added Gopher Redis/FastCGI chain Updated: dompurify-mxss-bypass (90% review, 100% content eval) - Added jQuery .text() post-sanitization bypass (not mXSS, data flow bug) - Added 8-step systematic workflow with validation checkpoints Updated: dom-vulnerability-detection (92% review, 88% content eval) - Added library gadgets: jQuery .text() re-decoding, moment.js format injection, javascript: URI hostname population bypass - Added workflow feedback loops and expanded CSTI guidance Updated: dom-vulnerability-static-analysis (92% review, 87% content eval) - Extracted GADGETS.md reference file for progressive disclosure - Added cross-validation step between grep and AST results - moment.js detection: 38% → 100% with GADGETS.md content All skills eval-validated via tessl (activation + content evals on claude-sonnet-4-6). Chain With sections cleaned for capability context. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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New skill: aem-sling-exploitation (97% review, 96% content eval)
Updated: blind-ssrf-chains (97% review, 95% content eval)
Updated: dompurify-mxss-bypass (90% review, 100% content eval)
Updated: dom-vulnerability-detection (92% review, 88% content eval)
Updated: dom-vulnerability-static-analysis (92% review, 87% content eval)
All skills eval-validated via tessl (activation + content evals on claude-sonnet-4-6). Chain With sections cleaned for capability context.