audit-check

Audit legal footnotes in DOCX documents against Bluebook citation standards.

19|5|Updated Jan 4, 2026

Search Tags:#audit #claude #legal #gemini #citation #footnotes #bluebook

Ready to run

npx skills add https://github.com/edwinhu/workflows --skill audit-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: audit-check
Source: https://github.com/edwinhu/workflows/tree/main/skills/bluebook-audit/lib/skills/audit-check
Command: npx skills add https://github.com/edwinhu/workflows --skill audit-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, python-docx, google-generativeai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the rigorous checking of legal footnotes, ensuring adherence to complex citation rules and identifying errors that manual review might miss.

Core Features & Use Cases

Mechanical Checks: Performs deterministic checks for common formatting errors like incorrect small caps, signal italics, and terminal periods.
AI-Powered Audit: Leverages Gemini to classify source types and verify typeface correctness within footnotes.
Cross-Footnote Review: Utilizes Claude to analyze relationships between footnotes, ensuring consistency in supra chains and hereinafter usage.
Use Case: A law firm can use this skill to audit a brief before filing, catching citation errors that could undermine credibility.

Quick Start

Run the mechanical checks on the document located at 'path/to/file.docx'.

Frequently Asked Questions about audit-check

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

FAQPage Schema

How do I audit legal footnotes in a DOCX file for Bluebook citation accuracy?▼

This Skill audits legal footnotes in DOCX documents by combining Python-based mechanical formatting checks with Gemini and Claude AI analysis to verify source types, typeface correctness, and cross-footnote consistency according to Bluebook standards.

Can I use Claude and Gemini to check legal citation consistency across footnotes?▼

Yes, this Skill uses Gemini to classify source types and verify typefaces via the Batch API, then applies Claude to analyze inter-footnote patterns such as supra chains and hereinafter usage, ensuring cross-footnote citation consistency.

What mechanical checks are performed for Bluebook footnote formatting?▼

Mechanical checks for Bluebook footnote formatting perform deterministic Python tests to identify common errors like incorrect small caps, signal italics, and terminal periods before submitting extracted formatted footnotes to the AI analysis stage.

Does the legal citation audit process require Python dependencies like pandas and python-docx?▼

Yes, the legal citation audit process requires Python dependencies including pandas, python-docx, and google-generativeai to extract formatted footnotes from DOCX documents and submit them to the Gemini Batch API for AI analysis.

What is the best way to automate checking small caps and signal italics in legal briefs?▼

The best way to automate checking small caps and signal italics in legal briefs is using this Skill's deterministic Python mechanical checks on DOCX documents, which identify formatting errors before validating source type classifications and cross-footnote patterns with AI.

Why does the cross-footnote review use Claude to analyze supra chains and hereinafter usage?▼

The cross-footnote review uses Claude because it conducts a final review to analyze inter-footnote relationships and filter errors, ensuring consistency in supra chains and hereinafter usage that mechanical checks and initial AI analysis might miss.