program-to-model-extractor

Extract abstract mathematical models from Haskell, OCaml, and F# code for Isabelle/HOL.

142|14|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill program-to-model-extractor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: program-to-model-extractor
Source: https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/program-to-model-extractor
Command: npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill program-to-model-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the conversion of functional programming code into formal mathematical models, enabling rigorous verification and reasoning in theorem provers like Isabelle/HOL.

Core Features & Use Cases

  • Code-to-Model Translation: Extracts abstract mathematical models from Haskell, OCaml, and F# code.
  • Formal Reasoning Support: Generates Isabelle/HOL definitions and lemmas for verification.
  • Use Case: You have a complex recursive algorithm implemented in Haskell. Use this Skill to generate an Isabelle/HOL model that captures its mathematical essence, allowing you to formally prove its correctness.

Quick Start

Use the program-to-model-extractor skill to convert the provided Haskell code into an Isabelle/HOL model.

Frequently Asked Questions about program-to-model-extractor

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

FAQPage Schema
How do I convert Haskell code to an Isabelle/HOL model for formal verification?

You can convert Haskell code to an Isabelle/HOL model by extracting abstract mathematical models from the functional code. This translates data types and functions into formal definitions, capturing their mathematical essence for theorem proving.

Can I extract formal models from OCaml and F# code for theorem proving?

Yes, you can extract formal mathematical models from OCaml and F# code. The extraction process supports these functional programming languages alongside Haskell, abstracting implementation details to enable formal reasoning and theorem proving.

What is the process of abstracting implementation details for code verification?

Abstracting implementation details for code verification involves stripping away programming-specific syntax to capture the underlying mathematical essence. This process translates functional code logic into formal definitions and properties suitable for rigorous theorem proving.

Does model extraction support the conversion of recursive algorithms into formal properties?

Yes, model extraction supports converting recursive algorithms into formal properties. It translates complex recursive functions from functional code into Isabelle/HOL definitions and lemmas, allowing you to formally prove their correctness.

What are the limitations when converting functional programming code to formal methods?

A limitation when converting functional programming code to formal methods is that the extraction focuses on abstracting implementation details to capture mathematical essence. Users must still manually verify the generated Isabelle/HOL lemmas to ensure complete correctness.