paper-claim-audit

Verify numerical claims in research papers against raw evidence.

Updated Apr 29, 2026

Search Tags:#verification #audit #data #reproducibility #claims #paper

Ready to run

npx skills add https://github.com/jkfee/Auto-Research --skill paper-claim-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-claim-audit
Source: https://github.com/jkfee/Auto-Research/tree/main/skills/paper-claim-audit
Command: npx skills add https://github.com/jkfee/Auto-Research --skill paper-claim-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides zero-context verification that every numerical claim in a research paper matches the raw data, reducing confirmation bias and increasing trust in published results.

Core Features & Use Cases

Cross-checks all numerical claims against raw results files, figures, and tables to identify rounding drift, cherry-picking, or scope overclaims.
Enforces a zero-context auditing process by using a fresh reviewer thread to prevent prior-context bias, enabling end-to-end verification before submission.

Quick Start

Provide the paper source and results artifacts to initiate a zero-context audit and generate a structured, machine-readable report.

Frequently Asked Questions about paper-claim-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I verify numerical claims in a research paper against raw data?▼

Zero-context auditing prevents prior-context bias by using a fresh reviewer thread to verify claims. This process ensures end-to-end verification of numerical claims against raw evidence before paper submission, reducing confirmation bias.

How do I detect rounding drift or cherry-picking in research results?▼

You detect rounding drift and cherry-picking by applying a zero-context audit across paper sections, tables, and figures. This process enforces end-to-end verification by mapping every numerical claim directly to its raw evidence.

What is zero-context verification for research papers?▼

Zero-context verification is an auditing process that uses a fresh reviewer thread to check numerical claims against raw data without prior-context bias. It ensures full traceability of claims to evidence before submission.

Can I audit figures and tables to find scope overclaims in my paper?▼

Yes, you can audit figures and tables to find scope overclaims by cross-checking all numerical claims against raw results files. The audit applies across sections, tables, and figures to ensure claims match raw evidence.

What do I need to provide to start a paper claim audit?▼

To start a paper claim audit, you need to provide the paper source and results artifacts. This initiates the zero-context verification process and generates a structured, machine-readable report tracing claims to evidence.