AI Integrity Auditor for Papers: Detect Anomalies & Gaps

AI Integrity Auditor for Papers: Detect Anomalies & Gaps

Ensure the integrity of your research papers with precision and confidence using the AI Integrity Auditor for Papers. Designed for developers and teams working with AI coding agents like Claude Code, Cursor, and Codex, this agent skill meticulously identifies image misuse, numerical anomalies, and logical gaps, providing a detailed evidence report that you can trust.

What this skill does

The AI Integrity Auditor for Papers offers a comprehensive, single-stage process to maintain paper integrity effortlessly. Here's how it works:

• Reads each reference in the paper, whether from external sources like PDFs, DOIs, arXiv, or outputs from local paper-writer runs.
• Performs three evidence tracks: image analysis for panel splits and duplicate detection; numerical scrutiny including mean/SD/SEM re-computation and Benford testing; logical gap assessments.
• Generates a structured audit_report.md featuring Level 1–4 graded findings, ensuring a clear and actionable report.
• Provides additional functionality like acquiring high-resolution figures and source-data XLSXs, even when the article PDF is paywalled.

Use cases

This robust skill is ideal for scenarios where paper integrity is paramount:

• Research teams aiming to validate the credibility of submissions before peer review.
• Academic institutions ensuring the reliability of published works within their repositories.
• Developers creating AI-powered editing and reviewing tools integrate this skill to enhance their products.

Technical details

The AI Integrity Auditor for Papers includes all necessary instructions and references structured into forensics_tools/ and references/ directories:

• References: Detailed playbooks for incremental execution, image evidence evaluation, numerical analysis, and supplementary data acquisition.
• Single-purpose:forensics_tools/ Ensures focus and quality with no extraneous SDKs.

Elevate your paper audits with the AI Integrity Auditor for Papers, ensuring that your works adhere to the highest standards of integrity and scientific accuracy.

Source & Licence

This package is built on open-source work published by ai4s-research (ai4s-research/ai4s-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.