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AI Skill for Experiment Auditing & ML Research Evaluation

AI Skill for Experiment Auditing & ML Research Evaluation

Regular price £11.99
Regular price £11.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
AI Skill for Experiment Auditing & ML Research Evaluation

AI Skill for Experiment Auditing & ML Research Evaluation

Regular price £11.99
Regular price £11.99 Sale price
SAVE Sold out

AI Skill for Experiment Auditing & ML Research Evaluation

This AI skill is designed to assist researchers and developers in auditing experiments and evaluating machine learning research. It provides scientific reasoning capabilities to verify experimental claims, assess reproducibility, and review research methodologies. The skill functions as a scientific research reasoning engine rather than a mere tool wrapper, offering structured support for complex evaluation tasks.

What this skill does

  • Evaluates experimental claims and audits training runs or ablations.
  • Checks the validity of statistical claims and assesses result reproducibility.
  • Reconciles contradictory results and reviews research paper sections for accuracy.
  • Writes reviewer-style feedback and produces structured research reports.
  • Applies scientific reasoning to scenarios even without live data sources, such as reviewing a pasted table of results or evaluating textual descriptions of an ablation.
  • Interacts with data stored in platforms like Weights & Biases when integrated.

Who it is for

  • Developers and research teams using AI coding agents such as Claude Code, Cursor, and Codex.
  • Researchers involved in machine learning and scientific experimentation.

Use cases

  • Evaluating whether a machine learning experiment's results hold up under scrutiny.
  • Auditing data to identify potential confounding factors in experiments.
  • Providing structured feedback on research papers or proposals.
  • Conducting reproducibility checks to ensure robustness of findings.
  • Generating comprehensive research reports from individual experimental results.

Technical details

  • Utilizes Claude Code, AI Application, and Experiment Audit tools.
  • Integrates with data platforms like Weights & Biases for enhanced functionality.

Source & Licence

This package is built on open-source work published by SreeDharshan-GJ (SreeDharshan-GJ/experiment-audit) 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.

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Dropped it into Claude Code and my LCP went from 4.1s to 1.9s in an afternoon. It explains every fix it suggests, so I actually learned something too.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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