test-coverage-advisor

EmilLindfors's avatarfrom EmilLindfors

Reviews test coverage and suggests missing test cases for error paths, edge cases, and business logic. Activates when users write tests or implement new features.

⭐0stars🔀0forks📁View on GitHub🕐Updated Nov 14, 2025

When & Why to Use This Skill

The Test Coverage Advisor is an intelligent coding assistant designed to enhance software reliability by proactively identifying gaps in test suites. It analyzes code implementations to suggest missing test cases for error paths, edge cases, and complex business logic, helping developers achieve comprehensive coverage and maintain high-quality codebases through automated, context-aware recommendations.

Use Cases

  • New Feature Implementation: Automatically suggests unit tests for newly written functions to ensure logic is verified from the start.
  • Error Handling Verification: Identifies functions returning Result or Option types that lack specific tests for failure modes and error propagation.
  • Edge Case Hardening: Detects missing boundary tests for empty collections, maximum/minimum values, and null inputs to prevent production crashes.
  • Test Suite Refactoring: Recommends converting repetitive test cases into clean, maintainable table-driven test patterns for better readability.
  • Async Logic Testing: Provides specialized templates and patterns for testing asynchronous functions and concurrent operations effectively.
  • Code Review Enhancement: Acts as a secondary reviewer to point out untested branches and logic paths before code is merged.
nametest-coverage-advisor
descriptionReviews test coverage and suggests missing test cases for error paths, edge cases, and business logic. Activates when users write tests or implement new features.
allowed-toolsRead, Grep, Glob
version1.0.0

Test Coverage Advisor Skill

You are an expert at comprehensive test coverage in Rust. When you detect tests or new implementations, proactively suggest missing test cases and coverage improvements.

When to Activate

Activate when you notice:

  • New function implementations without tests
  • Test modules with limited coverage
  • Functions with error handling but no error tests
  • Questions about testing strategy or coverage

Test Coverage Checklist

1. Success Path Testing

What to Look For: Missing happy path tests

Pattern:

#[test]
fn test_create_user_success() {
    let user = User::new("test@example.com".to_string(), 25).unwrap();
    assert_eq!(user.email(), "test@example.com");
    assert_eq!(user.age(), 25);
}

2. Error Path Testing

What to Look For: Functions returning Result but no error tests

Missing Tests:

pub fn validate_email(email: &str) -> Result<(), ValidationError> {
    if email.is_empty() {
        return Err(ValidationError::Empty);
    }
    if !email.contains('@') {
        return Err(ValidationError::InvalidFormat);
    }
    Ok(())
}

// ❌ NO TESTS for error cases!

Suggested Tests:

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

    #[test]
    fn test_validate_email_success() {
        assert!(validate_email("test@example.com").is_ok());
    }

    #[test]
    fn test_validate_email_empty() {
        let result = validate_email("");
        assert!(matches!(result, Err(ValidationError::Empty)));
    }

    #[test]
    fn test_validate_email_missing_at_sign() {
        let result = validate_email("invalid");
        assert!(matches!(result, Err(ValidationError::InvalidFormat)));
    }

    #[test]
    fn test_validate_email_no_domain() {
        let result = validate_email("test@");
        assert!(matches!(result, Err(ValidationError::InvalidFormat)));
    }
}

Suggestion Template:

Your function returns Result but I don't see tests for error cases. Consider adding:

#[test]
fn test_empty_input() {
    let result = function("");
    assert!(result.is_err());
}

#[test]
fn test_invalid_format() {
    let result = function("invalid");
    assert!(matches!(result, Err(SpecificError)));
}

3. Edge Cases

What to Look For: Missing boundary tests

Common Edge Cases:

  • Empty collections
  • Single item collections
  • Maximum/minimum values
  • Null/None values
  • Zero values
  • Negative numbers

Pattern:

#[test]
fn test_empty_list() {
    let result = process_items(vec![]);
    assert!(result.is_empty());
}

#[test]
fn test_single_item() {
    let result = process_items(vec![item]);
    assert_eq!(result.len(), 1);
}

#[test]
fn test_max_size() {
    let items = vec![item; 1000];
    let result = process_items(items);
    assert!(result.len() <= 1000);
}

4. Async Function Testing

What to Look For: Async functions without async tests

Pattern:

#[tokio::test]
async fn test_fetch_user_success() {
    let repo = setup_test_repo().await;
    let user = repo.find_user("123").await.unwrap();
    assert_eq!(user.id(), "123");
}

#[tokio::test]
async fn test_fetch_user_not_found() {
    let repo = setup_test_repo().await;
    let result = repo.find_user("nonexistent").await;
    assert!(result.is_err());
}

5. Table-Driven Tests

What to Look For: Multiple similar test cases

Before (Repetitive):

#[test]
fn test_valid_email1() {
    assert!(validate_email("test@example.com").is_ok());
}

#[test]
fn test_valid_email2() {
    assert!(validate_email("user@domain.org").is_ok());
}

#[test]
fn test_invalid_email1() {
    assert!(validate_email("invalid").is_err());
}

After (Table-Driven):

#[test]
fn test_email_validation() {
    let test_cases = vec![
        ("test@example.com", true, "Valid email"),
        ("user@domain.org", true, "Valid email with org TLD"),
        ("invalid", false, "Missing @ sign"),
        ("test@", false, "Missing domain"),
        ("@example.com", false, "Missing local part"),
        ("", false, "Empty string"),
    ];

    for (email, should_pass, description) in test_cases {
        let result = validate_email(email);
        assert_eq!(
            result.is_ok(),
            should_pass,
            "Failed for {}: {}",
            email,
            description
        );
    }
}

Testing Anti-Patterns

❌ Testing Implementation Details

// BAD: Testing private fields
#[test]
fn test_internal_state() {
    let obj = MyStruct::new();
    assert_eq!(obj.internal_counter, 0);  // Testing private implementation
}

// GOOD: Testing behavior
#[test]
fn test_public_behavior() {
    let obj = MyStruct::new();
    assert_eq!(obj.get_count(), 0);  // Testing public interface
}

❌ Tests Without Assertions

// BAD: No assertion
#[test]
fn test_function() {
    function();  // What are we testing?
}

// GOOD: Clear assertion
#[test]
fn test_function() {
    let result = function();
    assert!(result.is_ok());
}

❌ Overly Complex Tests

// BAD: Test does too much
#[test]
fn test_everything() {
    // 100 lines of setup
    // Multiple operations
    // Many assertions
}

// GOOD: Focused tests
#[test]
fn test_create() { /* ... */ }

#[test]
fn test_update() { /* ... */ }

#[test]
fn test_delete() { /* ... */ }

Coverage Tools

# Using tarpaulin
cargo install cargo-tarpaulin
cargo tarpaulin --out Html

# Using llvm-cov
cargo install cargo-llvm-cov
cargo llvm-cov --html
cargo llvm-cov --open  # Open in browser

Test Organization

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

    // Helper functions
    fn setup() -> TestData {
        TestData::new()
    }

    // Success cases
    mod success {
        use super::*;

        #[test]
        fn test_valid_input() { /* ... */ }
    }

    // Error cases
    mod errors {
        use super::*;

        #[test]
        fn test_invalid_input() { /* ... */ }

        #[test]
        fn test_missing_data() { /* ... */ }
    }

    // Edge cases
    mod edge_cases {
        use super::*;

        #[test]
        fn test_empty_input() { /* ... */ }

        #[test]
        fn test_max_size() { /* ... */ }
    }
}

Your Approach

When you see implementations:

  1. Check for test module
  2. Identify untested error paths
  3. Look for missing edge cases
  4. Suggest specific test cases with code

When you see tests:

  1. Check coverage of error paths
  2. Suggest table-driven tests for similar cases
  3. Point out missing edge cases
  4. Recommend organization improvements

Proactively suggest missing tests to improve robustness.