{"product_id":"causal-audit-ai-skill-prove-causation-beyond-correlation","title":"Causal Audit AI Skill: Prove Causation Beyond Correlation","description":"\u003ch3\u003eCausal Audit AI Skill: Prove Causation Beyond Correlation\u003c\/h3\u003e\n\n\u003cp\u003eThe Causal Audit AI Skill allows developers and data teams to assess claims of causation from observational data and other correlational evidence. This tool assists in discerning whether changes in data are genuinely caused by a specific action, planning robust experiments, and conducting thorough causal investigations.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eMakes causal structures explicit in data analysis.\u003c\/li\u003e\n    \u003cli\u003eSupports planning and implementing A\/B tests and other experiments.\u003c\/li\u003e\n    \u003cli\u003eFacilitates the investigation of potential confounding factors in data claims.\u003c\/li\u003e\n    \u003cli\u003eOffers tools to design comparisons that may refute or support causal claims.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is suitable for:\u003c\/p\u003e\n\u003cul\u003e\n    \u003cli\u003eDevelopers working with AI coding agents such as Claude Code, Cursor, and Codex.\u003c\/li\u003e\n    \u003cli\u003eData scientists and analysts aiming to validate causal claims beyond correlation.\u003c\/li\u003e\n    \u003cli\u003eResearch teams in need of accessible tools to aid in the structuring and testing of hypotheses.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eEvaluating whether changes in business metrics result directly from specific interventions.\u003c\/li\u003e\n    \u003cli\u003eDesigning experiments ensuring variable control and replication for accurate analysis.\u003c\/li\u003e\n    \u003cli\u003eInvestigating observed phenomena to test if proposed causative factors are indeed responsible.\u003c\/li\u003e\n    \u003cli\u003eAnalyzing data from outbreaks or incidents to trace causal pathways and inform responses.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eIncludes agents such as \"pearl,\" \"fisher,\" \"peirce,\" \"semmelweis,\" and \"snow\" to guide different aspects of causal analysis.\u003c\/li\u003e\n    \u003cli\u003eCompatible with Claude Code, Cursor, and Codex platforms.\u003c\/li\u003e\n    \u003cli\u003eUtilizes a variety of methodologies including designing experiments, drawing directed acyclic graphs (DAGs), and investigating counterfactual scenarios.\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\u003ecdeust\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/cdeust\/zetetic-team-subagents\" rel=\"nofollow noopener\" target=\"_blank\"\u003ecdeust\/zetetic-team-subagents\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":52947561578807,"sku":"MCP-CDEUST-ZETETIC-TEAM-SUBAGENTS-CAUSAL-AUDIT","price":13.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/9AASpciOrL7lBBsqgV7A1_50de1ff8b1a744a39fdca6c49bcd2d5a.jpg?v=1788523502","url":"https:\/\/mcpcart.com\/products\/causal-audit-ai-skill-prove-causation-beyond-correlation","provider":"SPF PRO","version":"1.0","type":"link"}