bdd-mathematical-verification

Name: bdd-mathematical-verification
Availability: InStock
Author: plurigrid

Extract LaTeX from images and verify mathematical formulas via Gherkin scenarios and RSpec.

60|13|Updated Dec 22, 2025

Search Tags:#mathematics #bdd #rspec #gherkin #polynomials #mathpix

Ready to run

npx skills add https://github.com/plurigrid/asi --skill bdd-mathematical-verification

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bdd-mathematical-verification
Source: https://github.com/plurigrid/asi/tree/main/skills/bdd-mathematical-verification
Command: npx skills add https://github.com/plurigrid/asi --skill bdd-mathematical-verification

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rspec, cucumber, mathpix, parslet, mathn.

What problem does it solve?

Brings executable, scenario-based verification to mathematical formulas, enabling reproducible math checks.

Core Features & Use Cases

Gherkin Scenarios: Natural-language mathematical specifications.
RSpec Implementation: Executable verification.
MathPix Integration: Automatic LaTeX extraction from images.
Pattern Matching & Equivalence: Structural checks and algebraic equivalence.
Music-Topos Provenance: Artifact registration and provenance.

Quick Start

Run cucumber features and rspec specs to validate a sample quadratic polynomial.

Frequently Asked Questions about bdd-mathematical-verification

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

FAQPage Schema

How do I extract and verify mathematical formulas from images?▼

Mathematical formula extraction from images uses Mathpix to convert image content to LaTeX, then validates the extracted formulas through executable RSpec specifications and Gherkin scenarios. This approach ensures reliable verification of polynomial equations, algebraic expressions, and other mathematical content across documents.

Can I use Gherkin scenarios to write mathematical verification tests?▼

Gherkin scenarios enable natural-language mathematical specifications that execute as RSpec verifications. This BDD approach lets you write polynomial checks, equivalence tests, and pattern-matching rules in readable Given-When-Then syntax, with each scenario automatically validated through executable specs.

What's the best way to verify algebraic equivalence programmatically?▼

Algebraic equivalence verification combines AST-based pattern matching with RSpec assertions to structurally compare polynomial expressions and validate mathematical transformations. Gherkin scenarios define the equivalence rules, while Mathpix handles LaTeX extraction from source documents for end-to-end verification.

How do I automate mathematical content validation from documents?▼

Automate validation by combining Mathpix image-to-LaTeX conversion, Gherkin scenario definitions for test cases, and RSpec executable specifications. This workflow extracts formulas from documents, registers artifacts with provenance tracking, and runs automated checks against polynomial and algebraic patterns.

Do I need RSpec and Cucumber to use this mathematical verification approach?▼

Yes, RSpec provides executable specification execution while Cucumber processes Gherkin scenario syntax. Together they enable BDD-driven verification where natural-language mathematical tests run as automated checks, paired with Mathpix for LaTeX extraction and pattern-matching libraries for equivalence validation.

What limitations exist when matching complex polynomial patterns?▼

Pattern matching accuracy depends on AST representation fidelity and Mathpix extraction quality from source images. Complex nested polynomials, non-standard notation, or low-image quality may reduce matching precision; provenance tracking with caching helps identify extraction and validation boundaries.