property-based-tester

Name: property-based-tester
Availability: InStock
Author: rainoftime

Generate random inputs and shrink counterexamples to verify software invariants.

17|2|Updated Feb 16, 2026

Search Tags:#testing #debugging #edge cases #verification #property testing #random generation

Ready to run

npx skills add https://github.com/rainoftime/pl-skills --skill property-based-tester

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: property-based-tester
Source: https://github.com/rainoftime/pl-skills/tree/main/property-based-tester
Command: npx skills add https://github.com/rainoftime/pl-skills --skill property-based-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the discovery of elusive bugs by generating thousands of random inputs to test software properties, uncovering edge cases that traditional testing methods miss.

Core Features & Use Cases

Automated Test Generation: Creates diverse, random inputs tailored to specific data types.
Property Verification: Checks if defined invariants or business logic hold true across all generated inputs.
Minimal Counterexample Finding: Automatically shrinks failing test cases to their simplest form for easier debugging.
Use Case: Verify that a sorting algorithm correctly handles empty lists, single-element lists, and lists with duplicate values by defining a property that the sorted list must always be in ascending order.

Quick Start

Use the property-based-tester skill to generate tests for the sort function in my_module.py that verify the output is always sorted.

Frequently Asked Questions about property-based-tester

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

FAQPage Schema

How does property-based testing find edge cases that traditional tests miss?▼

Property-based testing automates edge case discovery by generating thousands of random inputs tailored to specific data types, verifying that defined software invariants hold true across all generated values.

How do I generate random tests to verify a sorting algorithm's invariants?▼

To verify a sorting algorithm's invariants, define a property that the output must always be in ascending order, and the framework will generate random inputs to test if the invariant holds true.

Can I use property testing to fuzz APIs with type-aware generation?▼

Yes, property testing supports fuzzing APIs by utilizing type-aware generation to create diverse, random inputs, verifying that the API correctly handles various input structures and edge cases.

What is counterexample shrinking in property-based testing?▼

Counterexample shrinking automatically reduces a failing random test case to its simplest, minimal form, making it significantly easier to debug the specific input causing the invariant violation.

Does property-based testing work for verifying data structures and compiler transformations?▼

Yes, property-based testing is applicable for verifying algebraic laws, compiler transformations, and data structures by checking if defined invariants hold true across randomly generated inputs.

What do I need to set up before implementing property-based verification?▼

Implementing property-based verification requires defining generators for random input creation, specifying property definitions for your invariants, and configuring shrinking capabilities for deterministic counterexample finding.