Does this skill help with failing test cases?

Yes, it leverages proptest's 'shrinking' capability, which automatically finds the smallest, simplest input that causes a test to fail, making debugging much easier.

What is property-based testing in Rust?

Unlike traditional testing that checks specific inputs, property-based testing verifies general 'properties' or invariants that should always be true for any valid input, using tools like proptest to generate thousands of test cases automatically.

Which Rust crate does this skill support?

This skill specifically focuses on the proptest crate, providing implementation patterns for strategies, prop_assert macros, and test runners.

When should I use property-based tests instead of unit tests?

Property testing is ideal for algorithms, parsers, serialization, and data structures where manual edge-case identification is difficult or where logic must hold true across a wide domain of inputs.

Rust Property Testing Guide

Name: Rust Property Testing Guide
Author: EmilLindfors

byEmilLindfors

安全与测试

Generates robust property-based tests using proptest to automatically discover edge cases in Rust algorithms and data structures.

关于

The Rust Property Testing Guide skill empowers developers to move beyond traditional unit testing by leveraging property-based testing with the proptest library. It provides domain-specific patterns for verifying roundtrip serialization, idempotence, and complex data structure invariants. When Claude detects algorithm implementations or complex logic, this skill enables it to proactively suggest strategies that automatically find minimal failing inputs, ensuring high-quality, resilient Rust codebases.

主要功能

Automated proptest strategy generation for custom Rust types
Shrinking support to identify the smallest possible failing edge case
Fuzzing-style 'never panics' testing for parsers and encoders
Pattern library for roundtrip, idempotence, and inverse function testing
0 GitHub stars
Advanced data structure invariant and oracle comparison techniques

使用场景

Ensuring data structures like B-Trees maintain internal balance and order during operations
Verifying that serialization and deserialization logic preserves data integrity
Testing custom sorting or search algorithms against standard library oracles

关于

主要功能

Automated proptest strategy generation for custom Rust types
Shrinking support to identify the smallest possible failing edge case
Fuzzing-style 'never panics' testing for parsers and encoders
Pattern library for roundtrip, idempotence, and inverse function testing
0 GitHub stars
Advanced data structure invariant and oracle comparison techniques

使用场景

Ensuring data structures like B-Trees maintain internal balance and order during operations
Verifying that serialization and deserialization logic preserves data integrity
Testing custom sorting or search algorithms against standard library oracles