unit-test-service-layer

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill unit-test-service-layer
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summary

Isolated unit testing patterns for Spring service layer using Mockito and JUnit 5.

  • Covers mocking injected dependencies, verifying service interactions, and testing business logic without database or external API calls
  • Includes patterns for exception handling, complex workflows, argument capturing, and verification of call order and frequency
  • Supports testing async/reactive services with CompletableFuture and provides best practices for constructor injection and spy-based partial moc
skill.md

Unit Testing Service Layer with Mockito

Overview

Provides patterns for unit testing @Service classes using Mockito. Mocks repository calls, verifies method invocations, tests exception scenarios, and stubs external API responses. Enables fast, isolated tests without Spring container or database.

When to Use

  • Testing business logic in @Service classes
  • Mocking repository and external client dependencies
  • Verifying service interactions with mocked collaborators
  • Testing error handling and edge cases in services
  • Writing fast, isolated unit tests (no database, no API calls)

Instructions

Follow this workflow to test service layer with Mockito, including validation checkpoints:

1. Setup Test Class

Use @ExtendWith(MockitoExtension.class) to enable Mockito annotations.

2. Declare Mocks with @Mock and @InjectMocks

Use @Mock for dependencies (repositories, clients) and @InjectMocks for the service under test.

3. Arrange-Act-Assert with Validation

Arrange: Create test data and configure mock return values using when().thenReturn().

Act: Execute the service method being tested.

Assert:

  • Verify returned values with AssertJ assertions
  • Verify mock interactions with verify()
  • Validation checkpoint: Run test and confirm green bar

4. Test Exception Scenarios

Configure mocks to throw exceptions with when().thenThrow().

Validation checkpoint: Verify exception type and message

5. Verify Complete Coverage

  • Run full test suite: mvn test or gradle test
  • Check coverage report: mvn test jacoco:report
  • Validation checkpoint: Confirm all service methods have corresponding tests

Examples

Basic Service Test Pattern

@ExtendWith(MockitoExtension.class)
class UserServiceTest {

  @Mock
  private UserRepository userRepository;

  @InjectMocks
  private UserService userService;

  @Test
  void shouldReturnUserWhenFound() {
    // Arrange
    User expected = new User(1L, "Alice");
    when(userRepository.findById(1L)).thenReturn(Optional.of(expected));

    // Act
    User result = userService.getUser(1L);

    // Assert
    assertThat(result.getName()).isEqualTo("Alice");
    verify(userRepository).findById(1L);
  }

  @Test
  void shouldThrowWhenUserNotFound() {
    // Arrange
    when(userRepository.findById(999L)).thenReturn(Optional.empty());

    // Act & Assert
    assertThatThrownBy(() -> userService.getUser(999L))
      .isInstanceOf(UserNotFoundException.class);
  }
}

Verify Method Invocations

@Test
void shouldSendEmailOnUserCreation() {
  User newUser = new User(1L, "Alice", "[email protected]");
  when(userRepository.save(any(User.class))).thenReturn(newUser);

  enrichmentService.registerNewUser("Alice", "[email protected]");

  verify(userRepository).save(any(User.class));
  verify(emailService).sendWelcomeEmail("[email protected]");
}

For additional patterns (multiple dependencies, argument captors, async services, InOrder verification), see references/examples.md.

Best Practices

  • Use @ExtendWith(MockitoExtension.class) for JUnit 5 integration
  • Mock only direct dependencies of the service under test
  • Verify interactions to ensure correct collaboration
  • Test one behavior per test method - keep tests focused
  • Use descriptive variable names: expectedUser, actualUser, captor
  • Create real instances for value objects and DTOs (don't mock them)

Constraints and Warnings

  • Do not mock value objects or DTOs; create real instances with test data.
  • Avoid mocking too many dependencies; consider refactoring if a service has too many collaborators.
  • Tests must be independent; do not rely on execution order.
  • Be cautious with @Spy; partial mocking is harder to understand and maintain.
  • Do not test private methods directly; test them through public method behavior.
  • Argument matchers (any(), eq()) cannot be mixed with actual values in the same stub.
  • Avoid over-verifying; verify only interactions important to the test scenario.

References

how to use unit-test-service-layer

How to use unit-test-service-layer 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 unit-test-service-layer
2

Execute installation command

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

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill unit-test-service-layer

The skills CLI fetches unit-test-service-layer from GitHub repository giuseppe-trisciuoglio/developer-kit 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/unit-test-service-layer

Reload or restart Cursor to activate unit-test-service-layer. Access the skill through slash commands (e.g., /unit-test-service-layer) 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

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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)
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general reviews

Ratings

4.565 reviews
  • Neel Ramirez· Dec 20, 2024

    unit-test-service-layer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amina Li· Dec 20, 2024

    Useful defaults in unit-test-service-layer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 12, 2024

    Registry listing for unit-test-service-layer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Dec 8, 2024

    unit-test-service-layer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Naina Nasser· Dec 4, 2024

    Keeps context tight: unit-test-service-layer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Li Bansal· Dec 4, 2024

    unit-test-service-layer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Nov 27, 2024

    Solid pick for teams standardizing on skills: unit-test-service-layer is focused, and the summary matches what you get after install.

  • Anaya Martinez· Nov 23, 2024

    Solid pick for teams standardizing on skills: unit-test-service-layer is focused, and the summary matches what you get after install.

  • Ava Brown· Nov 23, 2024

    Keeps context tight: unit-test-service-layer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ren Anderson· Nov 11, 2024

    unit-test-service-layer reduced setup friction for our internal harness; good balance of opinion and flexibility.

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