{"product_id":"ai-debug-tool-evidence-based-diagnosis-for-ml-experiments","title":"AI Debug Tool: Evidence-Based Diagnosis for ML Experiments","description":"\u003ch3\u003eAI Debug Tool: Evidence-Based Diagnosis for ML Experiments\u003c\/h3\u003e\n\n\u003cp\u003eThe AI Debug Tool is a specialized diagnostic skill designed to methodically investigate and diagnose issues within machine learning experiments. It emphasizes an evidence-based approach to debugging, systematically probing systems before hypothesizing causes for issues like training failures, divergence, out-of-memory errors, hanging processes, and abnormal performance metrics.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n    Probes the system to gather initial data, including process lists to check for multiple instances or defunct processes, kernel or system events, GPU statistics, log scrollbacks, and checkpoint states, all before forming a hypothesis.\n  \u003c\/li\u003e\n  \u003cli\u003e\n    Once preliminary evidence is gathered, it formulates a hypothesis regarding the potential cause of the issue.\n  \u003c\/li\u003e\n  \u003cli\u003e\n    Performs a ‘smoke test’ to assess the hypothesis' validity before making a conclusion about the root cause.\n  \u003c\/li\u003e\n  \u003cli\u003e\n    Supports a disciplined debugging process following the probe → hypothesis → smoke → controls → claim protocol.\n  \u003c\/li\u003e\n  \u003cli\u003e\n    Automatically intervenes when an AI assistant speculates a cause without evidence, routing through the AI Debug Tool instead.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eMachine Learning Developers and Engineers working with AI coding agents like Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003eData Science Teams responsible for managing and optimizing ML experiments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eWhen machine learning experiments consistently fail or show unusual behavior such as increasing loss, zero GPU utilization, or unexpected system utilization patterns.\u003c\/li\u003e\n  \u003cli\u003eDuring troubleshooting requests where clarifications on crash logs, performance issues, or process statuses are needed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eUtilizes tools compatible with AI coding agents including Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003eIncorporates process state checks, system event logging, and hardware status evaluations.\u003c\/li\u003e\n  \u003cli\u003eEnsures controlled and systematic debugging workflow, improving the accuracy of diagnosing ML experiment issues.\u003c\/li\u003e\n\u003c\/ul\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\u003efcakyon\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/fcakyon\/labrat\" rel=\"nofollow noopener\" target=\"_blank\"\u003efcakyon\/labrat\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\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, provided the original copyright and licence notice are 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":53472641679671,"sku":"MCP-FCAKYON-LABRAT-DEBUG","price":48.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/HJWNIGSDMHZvBtvnvYTNu_ba588f18691647f3a91f03a5d971facd.jpg?v=1793437348","url":"https:\/\/mcpcart.com\/products\/ai-debug-tool-evidence-based-diagnosis-for-ml-experiments","provider":"SPF PRO","version":"1.0","type":"link"}