AI Scientist Evaluator: Audit & Rank AI Research Outputs

AI Scientist Evaluator: Audit & Rank AI Research Outputs

The 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.

What this skill does

• Confirms the request is evaluative and focuses on auditing existing outputs rather than performing original research tasks.
• Restates the task objective in one or two sentences to maintain focus on required deliverables.
• Inventories submitted artifacts, noting any missing components, with a preference for primary artifacts like notebooks, code, scripts, environment files, figures, tables, and data provenance.
• Selects the closest task profile from predefined references and applies matching weight profiles, prioritizing scientific profiles first for composite tasks followed by manuscript comments.
• Utilizes a four-person panel to synthesize a consensus review, including scientific validity, computational accuracy, data integrity, and novelty assessments.

Who it is for

This 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.

Use cases

• Auditing AI-generated notebooks and code to ensure computational accuracy and reproducibility.
• Reviewing figures and manuscripts for scientific rigor and novelty.
• Evaluating data integrity and task completion in bioinformatics research artifacts.

Technical details

• Integrates with AI coding agents like Claude Code, Cursor, and Codex.
• Utilizes task profiles and matching weight profiles for task-specific evaluations.
• Employs a panel-based review system to provide a comprehensive evaluation of research outputs.

Source & Licence

This package is built on open-source work published by fmschulz (fmschulz/omics-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your 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.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This 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.

Claude, 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.