lit-audit

Community

Ensure factual accuracy in academic manuscripts with a precision audit.

Authorbionoob7
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of verifying the factual accuracy of academic literature review manuscripts by meticulously cross-referencing quantitative claims with source extraction notes.

Core Features & Use Cases

  • Factual Accuracy Verification: Cross-checks metric values, dataset names, model names, and sample sizes against source extraction notes.
  • Manuscript Review Support: Useful before any style editing pass to ensure numbers are consistent with their sources.
  • Use Case: For instance, a researcher using this Skill can automatically verify if the number of subjects in a clinical study matches the number stated in the manuscript's text.

Quick Start

Invoke the lit-audit skill to automatically audit the factual fidelity of your manuscript, providing a comprehensive report of matched, mismatched, and uncited claims.

Dependency Matrix

Required Modules

pythonpython-markdownpython-regexpython-bibTeXpython-zotero

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: lit-audit
Download link: https://github.com/bionoob7/nlr-workflow/archive/main.zip#lit-audit

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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