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rust-testing

Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage.

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rust-testing is a Claude Code agent skill that rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage.

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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

  1. Identify target code — Find the function, trait, or module to test
  2. Write a test — Use #[test] in a #[cfg(test)] module, rstest for parameterized tests, or proptest for property-based tests
  3. Mock dependencies — Use mockall to isolate the unit under test
  4. Run tests (RED) — Verify the test fails with the expected error
  5. Implement (GREEN) — Write minimal code to pass
  6. Refactor — Improve while keeping tests green
  7. 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

Step-by-Step TDD in Rust

// RED: Write test first, use todo!() as placeholder
pub fn add(a: i32, b: i32) -> i32 { todo!() }

#[cfg(test)]
mod tests {
    use super::*;
    #[test]
    fn test_add() { assert_eq!(add(2, 3), 5); }
}
// cargo test → panics at 'not yet implemented'
// GREEN: Replace todo!() with minimal implementation
pub fn add(a: i32, b: i32) -> i32 { a + b }
// cargo test → PASS, then REFACTOR while keeping tests green

Unit Tests

Module-Level Test Organization

// src/user.rs
pub struct User {
    pub name: String,
    pub email: String,
}

impl User {
    pub fn new(name: impl Into<String>, email: impl Into<String>) -> Result<Self, String> {
        let email = email.into();
        if !email.contains('@') {
            return Err(format!("invalid email: {email}"));
        }
        Ok(Self { name: name.into(), email })
    }

    pub fn display_name(&self) -> &str {
        &self.name
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn creates_user_with_valid_email() {
        let user = User::new("Alice", "[email protected]").unwrap();
        assert_eq!(user.display_name(), "Alice");
        assert_eq!(user.email, "[email protected]");
    }

    #[test]
    fn rejects_invalid_email() {
        let result = User::new("Bob", "not-an-email");
        assert!(result.is_err());
        assert!(result.unwrap_err().contains("invalid email"));
    }
}

Assertion Macros

assert_eq!(2 + 2, 4);                                    // Equality
assert_ne!(2 + 2, 5);                                    // Inequality
assert!(vec![1, 2, 3].contains(&2));                     // Boolean
assert_eq!(value, 42, "expected 42 but got {value}");    // Custom message
assert!((0.1_f64 + 0.2 - 0.3).abs() < f64::EPSILON);   // Float comparison

Error and Panic Testing

Testing Result Returns

#[test]
fn parse_returns_error_for_invalid_input() {
    let result = parse_config("}{invalid");
    assert!(result.is_err());

    // Assert specific error variant
    let err = result.unwrap_err();
    assert!(matches!(err, ConfigError::ParseError(_)));
}

#[test]
fn parse_succeeds_for_valid_input() -> Result<(), Box<dyn std::error::Error>> {
    let config = parse_config(r#"{"port": 8080}"#)?;
    assert_eq!(config.port, 8080);
    Ok(()) // Test fails if any ? returns Err
}

Testing Panics

#[test]
#[should_panic]
fn panics_on_empty_input() {
    process(&[]);
}

#[test]
#[should_panic(expected = "index out of bounds")]
fn panics_with_specific_message() {
    let v: Vec<i32> = vec![];
    let _ = v[0];
}

Integration Tests

File Structure

my_crate/
├── src/
│   └── lib.rs
├── tests/              # Integration tests
│   ├── api_test.rs     # Each file is a separate test binary
│   ├── db_test.rs
│   └── common/         # Shared test utilities
│       └── mod.rs

Writing Integration Tests

// tests/api_test.rs
use my_crate::{App, Config};

#[test]
fn full_request_lifecycle() {
    let config = Config::test_default();
    let app = App::new(config);

    let response = app.handle_request("/health");
    assert_eq!(response.status, 200);
    assert_eq!(response.body, "OK");
}

Async Tests

With Tokio

#[tokio::test]
async fn fetches_data_successfully() {
    let client = TestClient::new().await;
    let result = client.get("/data").await;
    assert!(result.is_ok());
    assert_eq!(result.unwrap().items.len(), 3);
}

#[tokio::test]
async fn handles_timeout() {
    use std::time::Duration;
    let result = tokio::time::timeout(
        Duration::from_millis(100),
        slow_operation(),
    ).await;

    assert!(result.is_err(), "should have timed out");
}

Test Organization Patterns

Parameterized Tests with rstest

use rstest::{rstest, fixture};

#[rstest]
#[case("hello", 5)]
#[case("", 0)]
#[case("rust", 4)]
fn test_string_length(#[case] input: &str, #[case] expected: usize) {
    assert_eq!(input.len(), expected);
}

// Fixtures
#[fixture]
fn test_db() -> TestDb {
    TestDb::new_in_memory()
}

#[rstest]
fn test_insert(test_db: TestDb) {
    test_db.insert("key", "value");
    assert_eq!(test_db.get("key"), Some("value".into()));
}

Test Helpers

#[cfg(test)]
mod tests {
    use super::*;

    /// Creates a test user with sensible defaults.
    fn make_user(name: &str) -> User {
        User::new(name, &format!("{name}@test.com")).unwrap()
    }

    #[test]
    fn user_display() {
        let user = make_user("alice");
        assert_eq!(user.display_name(), "alice");
    }
}

Property-Based Testing with proptest

Basic Property Tests

use proptest::prelude::*;

proptest! {
    #[test]
    fn encode_decode_roundtrip(input in ".*") {
        let encoded = encode(&input);
        let decoded = decode(&encoded).unwrap();
        assert_eq!(input, decoded);
    }

    #[test]
    fn sort_preserves_length(mut vec in prop::collection::vec(any::<i32>(), 0..100)) {
        let original_len = vec.len();
        vec.sort();
        assert_eq!(vec.len(), original_len);
    }

    #[test]
    fn sort_produces_ordered_output(mut vec in prop::collection::vec(any::<i32>(), 0..100)) {
        vec.sort();
        for window in vec.windows(2) {
            assert!(window[0] <= window[1]);
        }
    }
}

Custom Strategies

use proptest::prelude::*;

fn valid_email() -> impl Strategy<Value = String> {
    ("[a-z]{1,10}", "[a-z]{1,5}")
        .prop_map(|(user, domain)| format!("{user}@{domain}.com"))
}

proptest! {
    #[test]
    fn accepts_valid_emails(email in valid_email()) {
        assert!(User::new("Test", &email).is_ok());
    }
}

Mocking with mockall

Trait-Based Mocking

use mockall::{automock, predicate::eq};

#[automock]
trait UserRepository {
    fn find_by_id(&self, id: u64) -> Option<User>;
    fn save(&self, user: &User) -> Result<(), StorageError>;
}

#[test]
fn service_returns_user_when_found() {
    let mut mock = MockUserRepository::new();
    mock.expect_find_by_id()
        .with(eq(42))
        .times(1)
        .returning(|_| Some(User { id: 42, name: "Alice".into() }));

    let service = UserService::new(Box::new(mock));
    let user = service.get_user(42).unwrap();
    assert_eq!(user.name, "Alice");
}

#[test]
fn service_returns_none_when_not_found() {
    let mut mock = MockUserRepository::new();
    mock.expect_find_by_id()
        .returning(|_| None);

    let service = UserService::new(Box::new(mock));
    assert!(service.get_user(99).is_none());
}

Doc Tests

Executable Documentation

/// Adds two numbers together.
///
/// # Examples
///
/// ```
/// use my_crate::add;
///
/// assert_eq!(add(2, 3), 5);
/// assert_eq!(add(-1, 1), 0);
/// ```
pub fn add(a: i32, b: i32) -> i32 {
    a + b
}

/// Parses a config string.
///
/// # Errors
///
/// Returns `Err` if the input is not valid TOML.
///
/// ```no_run
/// use my_crate::parse_config;
///
/// let config = parse_config(r#"port = 8080"#).unwrap();
/// assert_eq!(config.port, 8080);
/// ```
///
/// ```no_run
/// use my_crate::parse_config;
///
/// assert!(parse_config("}{invalid").is_err());
/// ```
pub fn parse_config(input: &str) -> Result<Config, ParseError> {
    todo!()
}

Benchmarking with Criterion

# Cargo.toml
[dev-dependencies]
criterion = { version = "0.5", features = ["html_reports"] }

[[bench]]
name = "benchmark"
harness = false
// benches/benchmark.rs
use criterion::{black_box, criterion_group, criterion_main, Criterion};

fn fibonacci(n: u64) -> u64 {
    match n {
        0 | 1 => n,
        _ => fibonacci(n - 1) + fibonacci(n - 2),
    }
}

fn bench_fibonacci(c: &mut Criterion) {
    c.bench_function("fib 20", |b| b.iter(|| fibonacci(black_box(20))));
}

criterion_group!(benches, bench_fibonacci);
criterion_main!(benches);

Test Coverage

Running Coverage

# Install: cargo install cargo-llvm-cov (or use taiki-e/install-action in CI)
cargo llvm-cov                    # Summary
cargo llvm-cov --html             # HTML report
cargo llvm-cov --lcov > lcov.info # LCOV format for CI
cargo llvm-cov --fail-under-lines 80  # Fail if below threshold

Coverage Targets

Code TypeTarget
Critical business logic100%
Public API90%+
General code80%+
Generated / FFI bindingsExclude

Testing Commands

cargo test                        # Run all tests
cargo test -- --nocapture         # Show println output
cargo test test_name              # Run tests matching pattern
cargo test --lib                  # Unit tests only
cargo test --test api_test        # Integration tests only
cargo test --doc                  # Doc tests only
cargo test --no-fail-fast         # Don't stop on first failure
cargo test -- --ignored           # Run ignored tests

Best Practices

DO:

  • Write tests FIRST (TDD)
  • Use #[cfg(test)] modules for unit tests
  • Test behavior, not implementation
  • Use descriptive test names that explain the scenario
  • Prefer assert_eq! over assert! for better error messages
  • Use ? in tests that return Result for cleaner error output
  • Keep tests independent — no shared mutable state

DON'T:

  • Use #[should_panic] when you can test Result::is_err() instead
  • Mock everything — prefer integration tests when feasible
  • Ignore flaky tests — fix or quarantine them
  • Use sleep() in tests — use channels, barriers, or tokio::time::pause()
  • Skip error path testing

CI Integration

# GitHub Actions
test:
  runs-on: ubuntu-latest
  steps:
    - uses: actions/checkout@v4
    - uses: dtolnay/rust-toolchain@stable
      with:
        components: clippy, rustfmt

    - name: Check formatting
      run: cargo fmt --check

    - name: Clippy
      run: cargo clippy -- -D warnings

    - name: Run tests
      run: cargo test

    - uses: taiki-e/install-action@cargo-llvm-cov

    - name: Coverage
      run: cargo llvm-cov --fail-under-lines 80

Remember: Tests are documentation. They show how your code is meant to be used. Write them clearly and keep them up to date.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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