Agent Skills: Property-Based Testing

Design property-based tests that verify code properties hold for all inputs using automatic test case generation. Use for property-based, QuickCheck, hypothesis testing, generative testing, and invariant verification.

UncategorizedID: aj-geddes/useful-ai-prompts/property-based-testing

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skills/property-based-testing/SKILL.md

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Name
property-based-testing
Description
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Property-Based Testing

Table of Contents

Overview

Property-based testing verifies that code satisfies general properties or invariants for a wide range of automatically generated inputs, rather than testing specific examples. This approach finds edge cases and bugs that example-based tests often miss.

When to Use

  • Testing algorithms with mathematical properties
  • Verifying invariants that should always hold
  • Finding edge cases automatically
  • Testing parsers and serializers (round-trip properties)
  • Validating data transformations
  • Testing sorting, searching, and data structure operations
  • Discovering unexpected input combinations

Quick Start

Minimal working example:

# test_string_operations.py
import pytest
from hypothesis import given, strategies as st, assume, example

def reverse_string(s: str) -> str:
    """Reverse a string."""
    return s[::-1]

class TestStringOperations:
    @given(st.text())
    def test_reverse_twice_returns_original(self, s):
        """Property: Reversing twice returns the original string."""
        assert reverse_string(reverse_string(s)) == s

    @given(st.text())
    def test_reverse_length_unchanged(self, s):
        """Property: Reverse doesn't change length."""
        assert len(reverse_string(s)) == len(s)

    @given(st.text(min_size=1))
    def test_reverse_first_becomes_last(self, s):
        """Property: First char becomes last after reverse."""
        reversed_s = reverse_string(s)
        assert s[0] == reversed_s[-1]
        assert s[-1] == reversed_s[0]
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Hypothesis for Python | Hypothesis for Python | | fast-check for JavaScript/TypeScript | fast-check for JavaScript/TypeScript | | junit-quickcheck for Java | junit-quickcheck for Java |

Best Practices

✅ DO

  • Focus on general properties, not specific cases
  • Test mathematical properties (commutativity, associativity)
  • Verify round-trip encoding/decoding
  • Use shrinking to find minimal failing cases
  • Combine with example-based tests for known edge cases
  • Test invariants that should always hold
  • Generate realistic input distributions

❌ DON'T

  • Test properties that are tautologies
  • Over-constrain input generation
  • Ignore shrunk test failures
  • Replace all example tests with properties
  • Test implementation details
  • Generate invalid inputs without constraints
  • Forget to handle edge cases in generators