How does this skill use the Hypothesis framework?

It provides pre-defined strategies and implementation patterns for the Hypothesis library, helping Claude generate robust test suites for Python applications with minimal manual boilerplate.

Is this compatible with pytest?

Absolutely. It is designed to work seamlessly with pytest, including recommendations for configuration in conftest.py and specific settings for CI/CD vs. local development.

Can I use this for API testing?

Yes, the skill includes patterns for stateful testing and mentions Schemathesis integration to fuzz and validate OpenAPI-compliant API endpoints and state machines.

What is property-based testing?

Unlike example-based testing which uses specific inputs, property-based testing validates that certain 'properties' (invariants) remain true for any input generated by a specific strategy, catching edge cases humans might overlook.

Property-Based Testing

Name: Property-Based Testing
Author: yonatangross

byyonatangross

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セキュリティとテスト

Automates the discovery of edge cases and boundary conditions using Hypothesis to validate invariants across diverse input sets.

This skill empowers Claude to implement property-based testing using the Hypothesis framework, allowing developers to move beyond fixed example tests toward comprehensive invariant validation. It provides standardized patterns for generating complex data strategies, testing serialization roundtrips, and implementing stateful testing for APIs and state machines. By focusing on properties that must hold true for all inputs, it identifies subtle bugs and edge cases that traditional unit tests often miss, ensuring more robust and production-ready Python applications.

主な機能

01Stateful testing capabilities for validating APIs and complex state machines

02Anti-pattern detection to prevent slow tests or hidden failures

03Optimized configuration profiles for CI/CD and local development environments

0469 GitHub stars

05Automated strategy generation for complex data types and domain objects

06Built-in patterns for roundtrip, idempotence, and oracle property testing

ユースケース

01Testing API state transitions and business logic invariants

02Validating complex data transformations and serialization logic

03Finding edge cases in mathematical algorithms or financial calculations

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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