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property-based-testing

Generate and review property-based tests across Python, JavaScript, Rust, and smart contracts.

Updated Aug 23, 2026
Search Tags:#code quality#testing#property-based testing#hypothesis#fast-check#pbt
One-click install
npx skills add https://github.com/monmacllcapp/skill-forks --skill property-based-testing-monmacllcapp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: property-based-testing
Source: https://github.com/monmacllcapp/skill-forks/tree/main/skills/security/plugins/property-based-testing/skills/property-based-testing
Command: npx skills add https://github.com/monmacllcapp/skill-forks --skill property-based-testing-monmacllcapp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers write more robust and comprehensive tests by leveraging property-based testing (PBT), which focuses on testing general properties of code rather than specific examples.

Core Features & Use Cases

  • Detect PBT Opportunities: Identifies code patterns suitable for PBT (e.g., serialization, validation, invariants).
  • Generate Property Tests: Assists in creating tests with appropriate strategies, properties, and edge cases.
  • Review Existing Tests: Analyzes current PBTs for issues like tautological properties or weak assertions.
  • Design with Properties: Guides users in applying Property-Driven Development.
  • Refactor for Testability: Suggests code modifications to improve testability.
  • Use Case: When developing a new serialization library, use this Skill to generate property-based tests that ensure roundtrip consistency (decode(encode(x)) == x) and type preservation across a wide range of inputs, catching edge cases that manual examples might miss.

Quick Start

Use the property-based-testing skill to generate property-based tests for the provided Python serialization code.

Frequently Asked Questions about property-based-testing

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

FAQPage Schema
How do I write property-based tests for serialization roundtrip consistency?▼

Property-based testing verifies general code properties across generated inputs. You can generate tests for serialization to ensure roundtrip consistency like decode(encode(x)) == x, automatically catching edge cases that manual examples miss.

What is the best way to detect code patterns suitable for property-based testing?▼

Detecting property-based testing opportunities involves identifying code patterns like serialization, validation, and invariants. You can analyze your codebase to pinpoint these patterns and apply appropriate test strategies to ensure robustness.

Does property-based testing work with Python Hypothesis and JavaScript fast-check?▼

Property-based testing works across multiple languages including Python with Hypothesis, JavaScript and TypeScript with fast-check, Rust with proptest, and smart contract tools like Echidna for comprehensive test coverage.

How do I review existing property-based tests for weak assertions or tautological properties?▼

Reviewing existing property-based tests analyzes current tests for quality issues like tautological properties or weak assertions. This process identifies ineffective tests and suggests improvements to strengthen your test suite.

Can I use property-driven development to design new features and improve code testability?▼

Property-driven development guides you to design features by defining properties first. It also suggests code modifications and refactoring strategies to improve overall testability before generating the actual tests.

When should I not use property-based testing over traditional example-based tests?▼

Property-based testing is less suitable when code behavior cannot be generalized into properties or invariants. If your logic relies purely on specific hardcoded values without generalizable rules, traditional example-based tests are more appropriate.

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