lit-audit
CommunityEnsure factual accuracy in academic manuscripts with a precision audit.
Education & Research#fact-checking#data verification#text analysis#factual accuracy#academic manuscript
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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