rust-testing

affaan-m/everything-claude-code · updated Apr 8, 2026

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$npx skills add https://github.com/affaan-m/everything-claude-code --skill rust-testing
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summary

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

skill.md

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!
how to use rust-testing

How to use rust-testing on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add rust-testing
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/affaan-m/everything-claude-code --skill rust-testing

The skills CLI fetches rust-testing from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/rust-testing

Reload or restart Cursor to activate rust-testing. Access the skill through slash commands (e.g., /rust-testing) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.847 reviews
  • Kwame Ghosh· Dec 28, 2024

    rust-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Min Huang· Dec 24, 2024

    Keeps context tight: rust-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Dec 16, 2024

    Keeps context tight: rust-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Emma Singh· Dec 16, 2024

    rust-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Sethi· Dec 4, 2024

    I recommend rust-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Noor Martinez· Nov 19, 2024

    rust-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • William Abbas· Nov 15, 2024

    Registry listing for rust-testing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Rahul Santra· Nov 7, 2024

    Registry listing for rust-testing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • William Nasser· Nov 7, 2024

    rust-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Pratham Ware· Oct 26, 2024

    rust-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

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