Rust Testing

This one walks you through the full TDD cycle in Rust, from basic unit tests with assert macros to property-based testing with proptest and mocking with mockall. It's organized around the RED-GREEN-REFACTOR workflow, so you write failing tests first, implement minimal code to pass, then refactor. The coverage is solid: async tests with tokio, parameterized tests with rstest, integration test structure, and panic testing. If you're coming from other languages and want to see how Rust testing actually works in practice, or you're already writing Rust but want to tighten up your test discipline, this covers the patterns you'll actually use. The code samples are realistic and show both the setup and the assertions you'd write.

skills.sh installs: 5.3K
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last updated: Jul 14, 2026

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Install

$ npx -y skills add affaan-m/everything-claude-code --skill rust-testing --agent claude-code

Installs into .claude/skills of the current project.

Files

Rust Testing Patterns

Comprehensive Rust testing patterns for writing reliable, maintainable tests following TDD methodology.

When to Use

Writing new Rust functions, methods, or traits
Adding test coverage to existing code
Creating benchmarks for performance-critical code
Implementing property-based tests for input validation
Following TDD workflow in Rust projects

How It Works

Identify target code — Find the function, trait, or module to test
Write a test — Use #[test] in a #[cfg(test)] module, rstest for parameterized tests, or proptest for property-based tests
Mock dependencies — Use mockall to isolate the unit under test
Run tests (RED) — Verify the test fails with the expected error
Implement (GREEN) — Write minimal code to pass
Refactor — Improve while keeping tests green
Check coverage — Use cargo-llvm-cov, target 80%+

TDD Workflow for Rust

The RED-GREEN-REFACTOR Cycle

RED     → Write a failing test first
GREEN   → Write minimal code to pass the test
REFACTOR → Improve code while keeping tests green
REPEAT  → Continue with next requirement