{"product_id":"optimize-ai-hypotheses-with-preregister-skill","title":"Optimize AI Hypotheses with Preregister Skill","description":"\u003ch3\u003eOptimize AI Hypotheses with Preregister Skill\u003c\/h3\u003e\n\n\u003cp\u003eThe Preregister Skill enables AI developers and research teams to lock confirmatory falsification targets and manage hypothesis testing with controlled error rates. Designed for usage within AI coding environments like Claude Code, Cursor, and Codex, this skill ensures rigorous handling of hypotheses in the development of AI models, particularly when transitioning from exploratory findings to confirmatory claims.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eLocks a confirmatory falsification target and its fixed multiple-comparison family before observing the result.\u003c\/li\u003e\n  \u003cli\u003eSupports the \"decide before observing\" approach for confirmatory claims.\u003c\/li\u003e\n  \u003cli\u003eRecords details such as metric, threshold, family id\/size, correction method, and seed budget.\u003c\/li\u003e\n  \u003cli\u003eApplies Bonferroni correction to manage error rates related to multiple hypotheses testing.\u003c\/li\u003e\n  \u003cli\u003eFacilitates the transition of exploratory findings to confirmatory claims through preregistration.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is tailored for AI developers, data scientists, and research teams focused on hypothesis testing and model validation within AI applications. It is particularly beneficial for those using AI coding agents such as Claude Code, Cursor, and Codex.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eBefore promoting exploratory findings to core claims in academic or industry publications.\u003c\/li\u003e\n  \u003cli\u003eImmediately following hypothesis selection in processes like `bt-tournament` to ensure rigorous confirmatory testing.\u003c\/li\u003e\n  \u003cli\u003eWhenever precise hypothesis registration is required, aiding in structured experimentation protocols.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eCompatibility: Supports integration with Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003ePreregister Command: Users trigger the function using the command `\/preregister`.\u003c\/li\u003e\n  \u003cli\u003eRequired Inputs: Includes hypothesis_id, metric_name, direction, threshold, seed_count, alpha, mc_correction, family_id, family_size.\u003c\/li\u003e\n  \u003cli\u003eCorrection Methods: Uses Bonferroni as default with options for `none` or legacy `bh`.\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\u003ewhenpoem\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/whenpoem\/aiscientist\" rel=\"nofollow noopener\" target=\"_blank\"\u003ewhenpoem\/aiscientist\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":53126372688183,"sku":"MCP-WHENPOEM-AISCIENTIST-PREREGISTER","price":12.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/1Akosuxnr70w9mHRvt4Kg_fb428aa4ce8549de8b5a478c73f5f5ea.jpg?v=1791536952","url":"https:\/\/mcpcart.com\/products\/optimize-ai-hypotheses-with-preregister-skill","provider":"SPF PRO","version":"1.0","type":"link"}