Program-to-Model Extractor
SkillAI & modelsExtract abstract mathematical models from functional code (Haskell, OCaml, F#) for formal reasoning in Isabelle/HOL. Use when users need to: (1) Convert functional programs to Isabelle definitions, (2) Extract high-level algorithm essence from implementation code, (3) Generate formal specifications and properties from code, (4) Create verification-ready models that capture mathematical properties while abstracting away implementation details. Focuses on structural recursion, algebraic data types, higher-order functions, and invariant extraction.
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Then ask your AI: use the Program-to-Model Extractor skill
What this skill tells your AI
The instructions your AI receives, as published by arabelatso/skills-4-se in skills/program-to-model-extractor/SKILL.md and read by ahel’s review.
Extract high-level mathematical models from functional code for formal reasoning in Isabelle/HOL.
Overview
This skill transforms functional programs (Haskell, OCaml, F#) into abstract mathematical models suitable for formal verification in Isabelle/HOL. The extraction focuses on the algorithm's mathematical essence—capturing core properties, invariants, and structural patterns while abstracting away language-specific implementation details.
Extraction Workflow
1. Analyze the Source Code
Identify key elements:
- Data structures: Algebraic types, lists, trees, custom types
- Core functions: Main computational logic
- Recursion patterns: Structural, tail, mutual recursion
- Properties: What should be true about inputs/outputs?
2. Extract Data Types
Convert source language types to Isabelle datatypes:
-- Haskell
data Tree a = Leaf | Node a (Tree a) (Tree a)
(* Isabelle *)
datatype 'a tree = Leaf | Node "'a" "'a tree" "'a tree"
3. Model Functions
Choose the appropriate Isabelle construct:
For primitive recursion (terminates obviously):
fun length :: "'a list ⇒ nat" where
"length [] = 0" |
"length (x # xs) = 1 + length xs"
For general recursion (needs termination proof):
function gcd :: "nat ⇒ nat ⇒ nat" where
"gcd m n = (if n = 0 then m else gcd n (m mod n))"
by pat_completeness auto
termination by (relation "measure snd") auto
For non-recursive definitions:
definition compose :: "('b ⇒ 'c) ⇒ ('a ⇒ 'b) ⇒ ('a ⇒ 'c)" where
"compose f g = (λx. f (g x))"
4. State Properties
Extract and formalize key properties as lemmas:
lemma length_append: "length (xs @ ys) = length xs + length ys"
lemma quicksort_permutes: "mset (quicksort xs) = mset xs"
lemma quicksort_sorted: "sorted (quicksort xs)"
5. Identify Invariants
For stateful or accumulator-based functions, state what holds during computation:
fun sum_acc :: "int ⇒ int list ⇒ int" where
"sum_acc acc [] = acc" |
"sum_acc acc (x # xs) = sum_acc (acc + x) xs"
lemma sum_acc_correct: "sum_acc acc xs = acc + sum_list xs"
Common Extraction Patterns
List Processing
Source: Recursive list operations Model: Isabelle list functions with length/permutation properties See: extraction_patterns.md
Sorting Algorithms
Source: Comparison-based sorting
Model: Functions with sorted and mset (permutation) properties
See: extraction_patterns.md
Tree Operations
Source: Recursive tree traversals and folds Model: Isabelle datatypes with structural recursion See: extraction_patterns.md
Higher-Order Functions
Source: map, filter, fold, composition Model: Isabelle higher-order definitions with fusion lemmas See: extraction_patterns.md
Partial Functions
Source: Functions that may fail (division, lookup) Model: Option types with case analysis See: extraction_patterns.md
Tail Recursion
Source: Accumulator-based functions Model: Functions with accumulator correctness lemmas See: extraction_patterns.md
Abstraction Guidelines
Focus on high-level mathematical essence:
✓ Do extract:
- Core algorithm structure
- Mathematical properties (sorted, permutation, etc.)
- Invariants and pre/post-conditions
- Structural recursion patterns
- Type relationships
✗ Don't extract:
- Performance optimizations
- Language-specific syntax details
- Implementation tricks
- Memory layout concerns
- Specific evaluation strategies
Example: Complete Extraction
Source (Haskell):
quicksort :: Ord a => [a] -> [a]
quicksort [] = []
quicksort (p:xs) = quicksort lesser ++ [p] ++ quicksort greater
where lesser = filter (< p) xs
greater = filter (>= p) xs
Extracted Model (Isabelle):
fun quicksort :: "'a::linorder list ⇒ 'a list" where
"quicksort [] = []" |
"quicksort (p # xs) =
quicksort (filter (λx. x < p) xs) @ [p] @
quicksort (filter (λx. x ≥ p) xs)"
(* Key properties *)
lemma quicksort_permutes: "mset (quicksort xs) = mset xs"
lemma quicksort_sorted: "sorted (quicksort xs)"
lemma quicksort_correct:
"sorted (quicksort xs) ∧ mset (quicksort xs) = mset xs"
Explanation:
- Converted type constraint
Ord ato'a::linorder - Preserved structural recursion pattern
- Extracted two key properties: permutation and sortedness
- Combined into correctness specification
References
- extraction_patterns.md: Detailed patterns for common functional programming constructs
- isabelle_syntax.md: Quick reference for Isabelle/HOL syntax
Tips
- Start with the simplest functions first to build up the model incrementally
- Use
mset(multisets) to express permutation properties elegantly - For complex recursion, explicitly state the termination measure
- Group related lemmas together (e.g., all properties of a single function)
- Use meaningful names that reflect mathematical concepts, not implementation details
Signals
- GitHub stars
- 252
- Forks
- 24
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
program-to-model-extractor- Source
- github.com/arabelatso/skills-4-se