math-doc-review

Audit mathematical documents and proofs, then generate a structured correction report.

Updated Jul 29, 2024
One-click install
npx skills add https://github.com/FragileTech/fragile --skill math-doc-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: math-doc-review
Source: https://github.com/FragileTech/fragile/tree/main/skills/math-doc-review
Command: npx skills add https://github.com/FragileTech/fragile --skill math-doc-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide a rigorous, framework-first review of mathematical documents (Markdown, LaTeX, notebooks, PDFs converted to text) to identify errors and produce a structured correction report that can be saved next to the source.

Core Features & Use Cases

  • Framework-first anchoring: extract definitions, axioms, permits, and notational conventions to ground critiques.
  • Issue logging with exact locations: record precise section, equation, or figure references to guide fixes.
  • Taxonomy-based classification: map issues to the provided review taxonomy and generate actionable remediation steps.
  • Artifact generation: emit a reviewed artifact under review/ using the assets/review-template.md as a starting point for documentation.
  • Use Case: educators can audit course notes, students can verify proofs, and researchers can publish auditable corrections.

Quick Start

Provide the target document path and trigger an automated, framework-first review that outputs a structured report in review/.

Frequently Asked Questions about math-doc-review

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

FAQPage Schema
How do I audit a mathematical proof for errors in a LaTeX document?

To audit a mathematical proof in LaTeX, this Skill performs a framework-first review by extracting foundational axioms and notational conventions to identify logical flaws, classifying issues by severity, and generating a structured correction report.

What is framework-first document review for mathematical materials?

Framework-first document review is an auditing method that anchors critiques to extracted definitions and notational conventions before evaluating claims, ensuring mathematical materials are validated against their own stated logical foundations rather than generic rules.

Can I use this to check math claims in Markdown or PDFs converted to text?

Yes, you can check math claims in Markdown, notebooks, and PDFs converted to text. The Skill audits these formats by logging issues with precise locations and generating a structured correction report saved next to the source.

How do I generate a structured correction report for academic research notes?

You generate a structured correction report by providing the target document path to trigger an automated review. The Skill maps identified errors to a provided taxonomy and outputs an actionable artifact in the review directory.

Does this math document review process classify errors by type and severity?

Yes, the math document review process classifies errors by type and severity. It uses a provided taxonomy to map issues and generate actionable remediation steps, ensuring errors are prioritized correctly for fixes.