{"product_id":"optimize-native-code-with-addresssanitizer-ai-agent-skill","title":"Optimize Native Code with AddressSanitizer AI Agent Skill","description":"\u003ch3\u003eOptimize Native Code with AddressSanitizer AI Agent Skill\u003c\/h3\u003e\n\n\u003cp\u003eThe \"Optimize Native Code with AddressSanitizer AI Agent Skill\" assists developers in building or running native code under AddressSanitizer (ASan). It aids in interpreting existing ASan reports, instruments C\/C++ or Rust unsafe\/FFI targets, sets ASAN_OPTIONS for fuzzer integration, and classifies each reported error with its faulting and allocation sites.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eInstruments native code builds in C\/C++ or Rust environments using AddressSanitizer.\u003c\/li\u003e\n  \u003cli\u003eRuns or interprets code to identify memory-corruption failures, classifying errors by faulting and allocation locations.\u003c\/li\u003e\n  \u003cli\u003eSets ASAN_OPTIONS for seamless fuzzer integration.\u003c\/li\u003e\n  \u003cli\u003eExtracts error type, faulting source, and allocation\/deallocation sites from reports.\u003c\/li\u003e\n  \u003cli\u003eMaps findings to a reproducible root cause without requiring a new instrumented run.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eDevelopers working with native code in C\/C++ or Rust.\u003c\/li\u003e\n  \u003cli\u003eEngineering teams involved in debugging and memory error analysis.\u003c\/li\u003e\n  \u003cli\u003eThose integrating fuzzers with AddressSanitizer for enhanced code testing.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eBuilding and testing native code to locate and understand memory leaks and buffer overflows.\u003c\/li\u003e\n  \u003cli\u003eAnalyzing existing AddressSanitizer reports to determine causes of detected errors.\u003c\/li\u003e\n  \u003cli\u003eIntegrating this skill with fuzz testing workflows to classify and resolve errors quickly.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eUtilizes agentic-coding, aiapplication, and address-sanitizer tools.\u003c\/li\u003e\n  \u003cli\u003eFocuses on local development; no remote or irreversible changes are made.\u003c\/li\u003e\n  \u003cli\u003eFunctions within the confines of the local project directory.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor authorized security testing, defensive research, and educational use only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eOutlineDriven\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/OutlineDriven\/outline-driven-development\" rel=\"nofollow noopener\" target=\"_blank\"\u003eOutlineDriven\/outline-driven-development\u003c\/a\u003e) and distributed under \u003cstrong\u003eApache-2.0\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":52939691000119,"sku":"MCP-OUTLINEDRIVEN-OUTLINE-DRIVEN-DEVELOPMENT-ADDRESS-SANITIZER","price":18.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/Kpx_pU4rIVnBm7jMTJgIk_b8f00651907c4210aba9378ff3ecce6a.jpg?v=1788343385","url":"https:\/\/mcpcart.com\/products\/optimize-native-code-with-addresssanitizer-ai-agent-skill","provider":"SPF PRO","version":"1.0","type":"link"}