AI-Powered Claim Numerics Audit for Manuscript Verification

AI-Powered Claim Numerics Audit for Manuscript Verification

The "AI-Powered Claim Numerics Audit for Manuscript Verification" skill allows developers and research teams to audit numerical claims in a manuscript against their corresponding experiment records, figures, tables, and configurations. This solution helps locate and verify numerical assertions to ensure consistency and accuracy without altering any original content.

What this skill does

• Reads manuscripts formatted in LaTeX or Markdown, as well as supporting documentation files and data sources, including AGENTS.md, docs/05_experiment_plan.md, docs/06_result_tables.md, docs/07_experiment_tracker.md, docs/08_analysis.md, and results/data.
• Audits numerical claims by verifying values against traceable research artifacts such as tables, figures, and configuration files.
• Records details of each numerical claim, including its location in the manuscript, the value and unit, comparison direction, and supporting artifacts.
• Checks conditions such as value consistency, rounding, unit usage, denominator, seed aggregation, and uncertainty intervals.
• Documents each verified item, mismatch, or unresolved claim in a pre-submission audit document docs/11_pre_submission_audit.md under "数字与论断核验".
• Ensures the resolution owner is noted without making silent edits.

Who it is for

• Developers working with AI coding agents like Claude Code, Cursor, and Codex.
• Research teams that need to verify numerical consistency in their manuscripts and supporting documents.

Use cases

• Verifying research manuscripts before submission to ensure that all numerical claims are accurate and traceable.
• Supporting audit trails in research documentation by cross-checking numerical data with experiment plans and results.
• Facilitating internal reviews of technical documents that require meticulous confirmation of numerical data integrity.

Technical details

• Integrates with AI agents such as Claude Code, Cursor, and Codex via their respective capability packages.
• Uses document parsing and numerical audit techniques specific to LaTeX and Markdown formats.
• Organizes output into structured audit documentation for pre-submission analysis.

Source & Licence

This package is built on open-source work published by wangyi0403 (wangyi0403/dl-research-workflow) 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.