unit_test_generation

Generate parameterized unit tests for Java, C++, and Rust.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tnn1t1s/iterator --skill unit-test-generation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: unit_test_generation
Source: https://github.com/tnn1t1s/iterator/tree/main/.claude/skills/CS500/unit_test_generation
Command: npx skills add https://github.com/tnn1t1s/iterator --skill unit-test-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Writes parameterized, edge-aware tests using JUnit, Catch2, and Rust test macros. Validates iterator contracts, edge cases, and fuzz inputs.

Core Features & Use Cases

  • Contract Tests: Verify iterator protocol and invariants.
  • Correctness Tests: Validate known input-output pairs.
  • Property Tests: Use fuzzing to test invariants.
  • Performance Tests: Sanity checks for hot paths.

Quick Start

Generate a parameterized test suite for a three-variant Java implementation and corresponding tests in C++ and Rust.

Frequently Asked Questions about unit_test_generation

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

FAQPage Schema
How do I generate parameterized unit tests across Java, C++, and Rust?

This Skill auto-generates parameterized unit tests using JUnit 5 for Java, Catch2 for C++, and Rust's built-in test macros. It creates framework-specific syntax for each language, eliminating manual test boilerplate across multiple codebases.

Can I use fuzzing and property-based testing to validate edge cases in my code?

Yes. The Skill implements property-based fuzz testing alongside contract, correctness, and edge-case test categories. It validates iterator contracts and invariants using fuzzing to systematically explore edge cases and boundary conditions.

What types of tests does this Skill generate?

It generates four test categories: contract tests for iterator protocols, correctness tests for known input-output pairs, property-based fuzz tests for invariants, and performance tests for hot paths. Each uses the appropriate framework syntax.

Does this work with data structures and processing utilities?

Yes. The Skill targets data structures and processing utilities, validating iterator contracts, edge cases, and fuzz inputs. It's designed for comprehensive test coverage across implementation variants in all three languages.

What's the best way to test multiple language implementations with consistent edge-case coverage?

Use edge-aware parameterized test generation to create multi-language test suites simultaneously. The Skill applies identical test logic across Java, C++, and Rust, ensuring consistency while respecting each language's testing framework conventions.