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verify-consistency

Audit repository consistency across numerical values, references, and documentation.

1|Updated Apr 9, 2026
Search Tags:#documentation#consistency#verification#audit#repository#LaTeX
One-click install
npx skills add https://github.com/jmg2027/Dynamic-Resolution-Lattice-Theory- --skill verify-consistency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verify-consistency
Source: https://github.com/jmg2027/Dynamic-Resolution-Lattice-Theory-/tree/main/.claude/skills/verify-consistency
Command: npx skills add https://github.com/jmg2027/Dynamic-Resolution-Lattice-Theory- --skill verify-consistency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill performs a rigorous audit of the entire repository to identify and resolve inconsistencies in theory, numbers, references, and structure, maintaining code and documentation integrity.

Core Features & Use Cases

  • Theory and Data Cross-Check: Validates numerical values and equations across multiple files for consistency.
  • Structural Integrity: Checks LaTeX syntax, label references, and file organization for correctness.
  • Documentation Verification: Ensures CLAUDE.md and README.md match repository facts, including experiment and problem tracking.
  • Use Case: Researchers update the repository and want to confirm all figures, numbers, and references are synchronized before publication.

Quick Start

Run the verify-consistency skill to automatically check the entire repository for inconsistencies and structural issues, then review the generated report for fixes.

Frequently Asked Questions about verify-consistency

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

FAQPage Schema
How do I check numerical consistency across multiple files in a repository?▼

Numerical consistency across multiple files is checked by cross-validating equations and figures to ensure theory and data match throughout the repository. This Skill performs an exhaustive audit to verify that all referenced numbers are synchronized across your documentation and codebase.

What is the best way to verify LaTeX syntax and label references in a scientific codebase?▼

Verifying LaTeX syntax and label references is best handled through a structural integrity audit that checks file organization and documentation accuracy. This Skill validates LaTeX syntax and cross-references to ensure a reliable scientific codebase before publication.

How do I audit a repository to ensure README and documentation match the actual code?▼

Auditing a repository to ensure README and CLAUDE.md match actual code is done by performing a documentation verification check. This Skill confirms that documentation facts, including experiment and problem tracking, align with repository contents.

Can I use this consistency verification for a large research repository before publication?▼

Yes, consistency verification is designed for research repositories needing validation before publication. It checks structural integrity, numerical values, and references to confirm all figures and data are synchronized across your entire scientific codebase.

Do I need any external dependencies to run a repository self-audit for structural integrity?▼

No external dependencies are required to run a repository self-audit for structural integrity. This Skill operates independently to generate a comprehensive report covering numerical values, references, file organization, and documentation accuracy.

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