{"product_id":"ai-scientist-evaluator-audit-rank-ai-research-outputs","title":"AI Scientist Evaluator: Audit \u0026 Rank AI Research Outputs","description":"\u003ch3\u003eAI Scientist Evaluator: Audit \u0026amp; Rank AI Research Outputs\u003c\/h3\u003e\n\n\u003cp\u003eThe AI Scientist Evaluator skill is designed to review, score, compare, and rank AI-generated biology or bioinformatics research artifacts. It functions as a skeptical reviewer, evaluating completed outputs such as notebooks, code, figures, analyses, manuscripts, or reports for rigor, reproducibility, and task completion.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eConfirms the request is evaluative and focuses on auditing existing outputs rather than performing original research tasks.\u003c\/li\u003e\n  \u003cli\u003eRestates the task objective in one or two sentences to maintain focus on required deliverables.\u003c\/li\u003e\n  \u003cli\u003eInventories submitted artifacts, noting any missing components, with a preference for primary artifacts like notebooks, code, scripts, environment files, figures, tables, and data provenance.\u003c\/li\u003e\n  \u003cli\u003eSelects the closest task profile from predefined references and applies matching weight profiles, prioritizing scientific profiles first for composite tasks followed by manuscript comments.\u003c\/li\u003e\n  \u003cli\u003eUtilizes a four-person panel to synthesize a consensus review, including scientific validity, computational accuracy, data integrity, and novelty assessments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is intended for developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex, particularly those engaged in the auditing and evaluation of AI-generated research outputs.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eAuditing AI-generated notebooks and code to ensure computational accuracy and reproducibility.\u003c\/li\u003e\n  \u003cli\u003eReviewing figures and manuscripts for scientific rigor and novelty.\u003c\/li\u003e\n  \u003cli\u003eEvaluating data integrity and task completion in bioinformatics research artifacts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIntegrates with AI coding agents like Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003eUtilizes task profiles and matching weight profiles for task-specific evaluations.\u003c\/li\u003e\n  \u003cli\u003eEmploys a panel-based review system to provide a comprehensive evaluation of research outputs.\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\u003efmschulz\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/fmschulz\/omics-skills\" rel=\"nofollow noopener\" target=\"_blank\"\u003efmschulz\/omics-skills\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":52897689764151,"sku":"MCP-FMSCHULZ-OMICS-SKILLS-AI-SCIENTIST-EVALUATOR","price":26.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/pjmuo4qsRj8dzzy8g3qDQ_5695b692254443daaa5a6ce2b944456f.jpg?v=1787735730","url":"https:\/\/mcpcart.com\/products\/ai-scientist-evaluator-audit-rank-ai-research-outputs","provider":"SPF PRO","version":"1.0","type":"link"}