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property-based-testing

Guide property-based testing across multiple languages and smart contracts.

Updated Mar 27, 2026
Search Tags:#hypothesis#fast-check#code-review#smart-contracts#property-based-testing#testing-strategies#property-driven-development
One-click install
npx skills add https://github.com/erenisiklar/Pusula --skill property-based-testing-erenisiklar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: property-based-testing
Source: https://github.com/erenisiklar/Pusula/tree/main/.claude/skills/property-based-testing
Command: npx skills add https://github.com/erenisiklar/Pusula --skill property-based-testing-erenisiklar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Property-based testing guidance across multiple languages and smart contracts helps teams uncover edge cases early, design tests that generalize beyond examples, and improve test coverage without writing many example cases.

Core Features & Use Cases

  • Detect opportunities for property-based testing across languages (Python, JavaScript/TypeScript, Rust, Go, Java, Scala, C#, Elixir, Haskell, Clojure, Ruby, Kotlin, Swift, C++, and Solidity/Vyper).
  • Generate property-based tests with appropriate strategies, edge cases, and invariants.
  • Review existing PBT tests for tautologies, vacuous tests, and weak assertions, and propose stronger properties.
  • Design features using properties (Property-Driven Development) to specify requirements before implementation.
  • Refactor code to enable property-based testing by extracting pure cores and explicit validation.

Quick Start

Ask Claude to apply property-based testing guidance to your current project.

Frequently Asked Questions about property-based-testing

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

FAQPage Schema
What is property-based testing and how does it differ from writing example tests?▼

Property-based testing generates many test cases automatically to uncover edge cases early, designing tests that generalize beyond specific examples to improve coverage without manually writing numerous individual scenarios.

How do I write property-based tests for smart contracts in Solidity and Vyper?▼

You can generate property-based tests for Solidity and Vyper smart contracts by applying specific testing strategies, edge cases, and invariants to validate contract behavior and catch vulnerabilities across multiple execution paths.

Can I use property-based testing with languages like Python, Rust, Go, and TypeScript?▼

Yes, property-based testing guidance applies across Python, JavaScript/TypeScript, Rust, Go, Java, Scala, C#, Elixir, Haskell, Clojure, Ruby, Kotlin, Swift, C++, and Solidity/Vyper using appropriate library references and strategies.

What is Property-Driven Development and how do I design features using properties?▼

Property-Driven Development uses properties to specify requirements before implementation, allowing you to design features by defining invariants and expected behaviors upfront rather than relying on example-based test cases.

How do I refactor code to enable property-based testing for pure functions?▼

Refactor code to enable property-based testing by extracting pure cores and implementing explicit validation, isolating side effects to make functions deterministic and testable with generated inputs.

How do I review existing property-based tests for weak assertions and tautologies?▼

Review existing property-based tests to detect tautologies, vacuous tests, and weak assertions, then propose stronger properties that better validate invariants and edge cases to ensure meaningful test coverage.

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