unit-test-wiremock-rest-api▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Unit test external REST API integrations with WireMock HTTP mocking and request verification.
- ›Stub HTTP responses with configurable status codes, headers, and JSON bodies; verify request details including headers, query parameters, and request bodies
- ›Test error scenarios (4xx/5xx responses, timeouts, malformed responses) without calling real APIs or hitting rate limits
- ›Use dynamic port allocation to avoid conflicts in parallel test execution; automatic cleanup between tests via JUnit
Unit Testing REST APIs with WireMock
Overview
Patterns for testing external REST API integrations with WireMock: stubbing responses, verifying requests, error scenarios, and fast tests without network dependencies.
When to Use
- Testing services calling external REST APIs
- Stubbing HTTP responses for predictable test behavior
- Testing error scenarios (timeouts, 5xx errors, malformed responses)
- Verifying request details (headers, query params, request body)
Instructions
- Add dependency: WireMock in test scope (Maven/Gradle)
- Register extension:
@RegisterExtension WireMockExtensionwithdynamicPort() - Configure client: Use
wireMock.getRuntimeInfo().getHttpBaseUrl()as base URL - Stub responses:
stubFor()with request matching (URL, headers, body) - Execute and assert: Call service methods, validate results with AssertJ
- Verify requests:
verify()to ensure correct API usage
If stub not matching: Check URL encoding, header names, use urlEqualTo for query params.
If tests hanging: Configure connection timeouts in HTTP client; use withFixedDelay() for timeout simulation.
If port conflicts: Always use wireMockConfig().dynamicPort().
Examples
Maven Dependencies
<dependency>
<groupId>org.wiremock</groupId>
<artifactId>wiremock</artifactId>
<version>3.4.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.assertj</groupId>
<artifactId>assertj-core</artifactId>
<scope>test</scope>
</dependency>
Basic Stubbing and Verification
import com.github.tomakehurst.wiremock.junit5.WireMockExtension;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.RegisterExtension;
import static com.github.tomakehurst.wiremock.client.WireMock.*;
import static org.assertj.core.api.Assertions.assertThat;
class ExternalWeatherServiceTest {
@RegisterExtension
static WireMockExtension wireMock = WireMockExtension.newInstance()
.options(wireMockConfig().dynamicPort())
.build();
@Test
void shouldFetchWeatherDataFromExternalApi() {
wireMock.stubFor(get(urlEqualTo("/weather?city=London"))
.withHeader("Accept", containing("application/json"))
.willReturn(aResponse()
.withStatus(200)
.withHeader("Content-Type", "application/json")
.withBody("{\"city\":\"London\",\"temperature\":15,\"condition\":\"Cloudy\"}")));
String baseUrl = wireMock.getRuntimeInfo().getHttpBaseUrl();
WeatherApiClient client = new WeatherApiClient(baseUrl);
WeatherData weather = client.getWeather("London");
assertThat(weather.getCity()).isEqualTo("London");
assertThat(weather.getTemperature()).isEqualTo(15);
wireMock.verify(getRequestedFor(urlEqualTo("/weather?city=London"))
.withHeader("Accept", containing("application/json")));
}
}
See references/advanced-examples.md for error scenarios, body verification, timeout simulation, and stateful testing.
Best Practices
- Dynamic port: Prevents conflicts in parallel test execution
- Verify requests: Ensures correct API usage by the client
- Test errors: Cover timeouts, 4xx, 5xx scenarios
- Focused stubs: One concern per test
- Auto-reset:
@RegisterExtensionresets WireMock between tests - Never call real APIs: Always stub third-party endpoints
Constraints and Warnings
- Dynamic ports required: Fixed ports cause parallel execution conflicts
- HTTPS testing: Configure WireMock TLS settings if testing TLS connections
- Stub precedence: More specific stubs take priority over general ones
- Performance: WireMock adds overhead; mock at client layer for faster tests
- API changes: Keep stubs synchronized with actual API contracts
References
- WireMock Documentation
- WireMock Stubbing Guide
references/advanced-examples.md- Error scenarios, body verification, timeouts
How to use unit-test-wiremock-rest-api on Cursor
AI-first code editor with Composer
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-wiremock-rest-api
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches unit-test-wiremock-rest-api from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate unit-test-wiremock-rest-api. Access the skill through slash commands (e.g., /unit-test-wiremock-rest-api) 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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★71 reviews- ★★★★★Yusuf Gupta· Dec 12, 2024
Registry listing for unit-test-wiremock-rest-api matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Dec 8, 2024
Registry listing for unit-test-wiremock-rest-api matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Evelyn Ndlovu· Dec 8, 2024
Keeps context tight: unit-test-wiremock-rest-api is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Neel Verma· Dec 4, 2024
unit-test-wiremock-rest-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Nov 27, 2024
unit-test-wiremock-rest-api reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ava Harris· Nov 27, 2024
unit-test-wiremock-rest-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kabir Jackson· Nov 27, 2024
Solid pick for teams standardizing on skills: unit-test-wiremock-rest-api is focused, and the summary matches what you get after install.
- ★★★★★Liam Ramirez· Nov 19, 2024
We added unit-test-wiremock-rest-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Neel Huang· Nov 3, 2024
unit-test-wiremock-rest-api reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kofi Khanna· Oct 22, 2024
I recommend unit-test-wiremock-rest-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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