paper-claim-audit

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.