How does this help Claude find bugs?

It provides Claude with the frameworks and strategies to generate thousands of test cases, allowing the AI to identify boundary conditions and logical errors through automated fuzzing.

What is property-based testing?

Unlike traditional unit tests that use specific examples, property-based testing checks if certain properties or invariants hold true for a wide range of automatically generated inputs, helping find edge cases that manual tests might miss.

Is this skill specific to Python?

Yes, this skill is specifically designed for the Hypothesis library, which is the primary tool for property-based testing within the Python ecosystem.

Can I use this for API testing?

Absolutely. The skill includes capabilities for using Schemathesis, which leverages Hypothesis to fuzz test API endpoints based on OpenAPI specifications.

Does this skill support stateful systems?

Yes, it includes patterns for stateful testing using RuleBasedStateMachine to model and test complex state transitions in applications and APIs.

Property-Based Testing

Name: Property-Based Testing
Author: yonatangross

byyonatangross

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安全与测试

Automates edge-case discovery by generating diverse test inputs and validating system invariants using the Hypothesis framework.

This skill empowers Claude to move beyond simple example-based unit tests by implementing property-based testing patterns in Python. It provides sophisticated strategies for generating bounded test data, validating roundtrip serialization, and performing stateful testing on complex state machines. Ideal for developers needing to find subtle bugs, boundary condition errors, and race conditions, it ensures robust code quality through automated fuzzing, invariant validation, and integration with tools like Schemathesis for API testing.

主要功能

01Stateful testing patterns for complex APIs and state machines

02Production-ready configuration for CI/CD and development environments

03Automated edge-case and boundary condition discovery

04Sophisticated data generation strategies for custom domain objects

0569 GitHub stars

06Invariant validation for roundtrip serialization and idempotence

使用场景

01Validating data transformation logic with roundtrip and idempotence checks

02Fuzz testing API endpoints and web services to ensure stability under unexpected input

03Testing complex state machines and concurrent workflows using RuleBasedStateMachine

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit property-based-testing

For use in Claude.ai and ChatGPT

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