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Quarkus Verification

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Fmarzochi
quarkus-verification

Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.

Overview

PublisherFmarzochi
RepositoryEGC
Skill namequarkus-verification
Stars
68
Forks
49
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Fmarzochi on GitHub. Read the source before you install it.

Installation

Install the Quarkus Verification AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Fmarzochi/EGC/tree/main/skills/backend/quarkus-verification
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Fmarzochi/EGC.git /tmp/EGC
mkdir -p .claude/skills
cp -r /tmp/EGC/skills/backend/quarkus-verification .claude/skills/quarkus-verification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quarkus Verification in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Quarkus Verification on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Quarkus Verification is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Quarkus Verification Loop

Run before PRs, after major changes, and pre-deploy.

When to Activate

  • Before opening a pull request for a Quarkus service
  • After major refactoring or dependency upgrades
  • Pre-deployment verification for staging or production
  • Running full build → lint → test → security scan → native compilation pipeline
  • Validating test coverage meets thresholds (80%+)
  • Testing native image compatibility

Phase 1: Build

bash
# Maven
mvn clean verify -DskipTests

# Gradle
./gradlew clean assemble -x test

If build fails, stop and fix compilation errors.

Phase 2: Static Analysis

Checkstyle, PMD, SpotBugs (Maven)

bash
mvn checkstyle:check pmd:check spotbugs:check

SonarQube (if configured)

bash
mvn sonar:sonar \
  -Dsonar.projectKey=my-quarkus-project \
  -Dsonar.host.url=http://localhost:9000 \
  -Dsonar.login=${SONAR_TOKEN}

Common Issues to Address

  • Unused imports or variables
  • Complex methods (high cyclomatic complexity)
  • Potential null pointer dereferences
  • Security issues flagged by SpotBugs

Phase 3: Tests + Coverage

bash
# Run all tests
mvn clean test

# Generate coverage report
mvn jacoco:report

# Enforce coverage threshold (80%)
mvn jacoco:check

# Or with Gradle
./gradlew test jacocoTestReport jacocoTestCoverageVerification

Test Categories

Unit Tests

Test service logic with mocked dependencies:

java
@ExtendWith(MockitoExtension.class)
class UserServiceTest {
  @Mock UserRepository userRepository;
  @InjectMocks UserService userService;

  @Test
  void createUser_validInput_returnsUser() {
    var dto = new CreateUserDto("Alice", "alice@example.com");

    // Panache persist() is void: use doNothing + verify
    doNothing().when(userRepository).persist(any(User.class));

    User result = userService.create(dto);

    assertThat(result.name).isEqualTo("Alice");
    verify(userRepository).persist(any(User.class));
  }
}
Integration Tests

Test with real database (Testcontainers):

java
@QuarkusTest
@QuarkusTestResource(PostgresTestResource.class)
class UserRepositoryIntegrationTest {

  @Inject
  UserRepository userRepository;

  @Test
  @Transactional
  void findByEmail_existingUser_returnsUser() {
    User user = new User();
    user.name = "Alice";
    user.email = "alice@example.com";
    userRepository.persist(user);

    Optional<User> found = userRepository.findByEmail("alice@example.com");

    assertThat(found).isPresent();
    assertThat(found.get().name).isEqualTo("Alice");
  }
}
API Tests

Test REST endpoints with REST Assured:

java
@QuarkusTest
class UserResourceTest {

  @Test
  void createUser_validInput_returns201() {
    given()
        .contentType(ContentType.JSON)
        .body("""
            {"name": "Alice", "email": "alice@example.com"}
            """)
        .when().post("/api/users")
        .then()
        .statusCode(201)
        .body("name", equalTo("Alice"));
  }

  @Test
  void createUser_invalidEmail_returns400() {
    given()
        .contentType(ContentType.JSON)
        .body("""
            {"name": "Alice", "email": "invalid"}
            """)
        .when().post("/api/users")
        .then()
        .statusCode(400);
  }
}

Coverage Report

Check target/site/jacoco/index.html for detailed coverage:

  • Overall line coverage (target: 80%+)
  • Branch coverage (target: 70%+)
  • Identify uncovered critical paths

Phase 4: Security Scanning

Dependency Vulnerabilities (Maven)

bash
mvn org.owasp:dependency-check-maven:check

Review target/dependency-check-report.html for CVEs.

Quarkus Security Audit

bash
# Check vulnerable extensions
mvn quarkus:audit

# List all extensions
mvn quarkus:list-extensions

OWASP ZAP (API Security Testing)

bash
docker run -t owasp/zap2docker-stable zap-api-scan.py \
  -t http://localhost:8080/q/openapi \
  -f openapi

Common Security Checks

  • All secrets in environment variables (not in code)
  • Input validation on all endpoints
  • Authentication/authorization configured
  • CORS properly configured
  • Security headers set
  • Passwords hashed with BCrypt
  • SQL injection protection (parameterized queries)
  • Rate limiting on public endpoints

Phase 5: Native Compilation

Test GraalVM native image compatibility:

bash
# Build native executable
mvn package -Dnative

# Or with container
mvn package -Dnative -Dquarkus.native.container-build=true

# Test native executable
./target/*-runner

# Run basic smoke tests
curl http://localhost:8080/q/health/live
curl http://localhost:8080/q/health/ready

Native Image Troubleshooting

Common issues:

  • Reflection: Add reflection config for dynamic classes
  • Resources: Include resources with quarkus.native.resources.includes
  • JNI: Register JNI classes if using native libraries

Example reflection config:

java
@RegisterForReflection(targets = {MyDynamicClass.class})
public class ReflectionConfiguration {}

Phase 6: Performance Testing

Load Testing with K6

javascript
// load-test.js
import http from 'k6/http';
import { check } from 'k6';

export const options = {
  stages: [
    { duration: '30s', target: 50 },
    { duration: '1m', target: 100 },
    { duration: '30s', target: 0 },
  ],
};

export default function () {
  const res = http.get('http://localhost:8080/api/markets');
  check(res, {
    'status is 200': (r) => r.status === 200,
    'response time < 200ms': (r) => r.timings.duration < 200,
  });
}

Run:

bash
k6 run load-test.js

Metrics to Monitor

  • Response time (p50, p95, p99)
  • Throughput (requests/sec)
  • Error rate
  • Memory usage
  • CPU usage

Phase 7: Health Checks

bash
# Liveness
curl http://localhost:8080/q/health/live

# Readiness
curl http://localhost:8080/q/health/ready

# All health checks
curl http://localhost:8080/q/health

# Metrics (if enabled)
curl http://localhost:8080/q/metrics

Expected responses:

json
{
  "status": "UP",
  "checks": [
    {
      "name": "Database connection",
      "status": "UP"
    }
  ]
}

Phase 8: Container Image Build

bash
# Build container image
mvn package -Dquarkus.container-image.build=true

# Or with specific registry
mvn package \
  -Dquarkus.container-image.build=true \
  -Dquarkus.container-image.registry=docker.io \
  -Dquarkus.container-image.group=myorg \
  -Dquarkus.container-image.tag=1.0.0

# Test container
docker run -p 8080:8080 myorg/my-quarkus-app:1.0.0

Container Security Scan

bash
# Trivy
trivy image myorg/my-quarkus-app:1.0.0

# Grype
grype myorg/my-quarkus-app:1.0.0

Phase 9: Configuration Validation

bash
# Check all configuration properties
mvn quarkus:info

# List all config sources
curl http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config

Environment-Specific Checks

  • Database URLs configured per environment
  • Secrets externalized (Vault, env vars)
  • Logging levels appropriate
  • CORS origins set correctly
  • Rate limiting configured
  • Monitoring/tracing enabled

Phase 10: Documentation Review

  • OpenAPI/Swagger docs up to date (/q/swagger-ui)
  • README has setup instructions
  • API changes documented
  • Migration guide for breaking changes
  • Configuration properties documented

Generate OpenAPI spec:

bash
curl http://localhost:8080/q/openapi -o openapi.json

Verification Checklist

Code Quality

  • Build passes without warnings
  • Static analysis clean (no high/medium issues)
  • Code follows team conventions
  • No commented-out code or TODOs in PR

Testing

  • All tests pass
  • Code coverage ≥ 80%
  • Integration tests with real database
  • Security tests pass
  • Performance within acceptable limits

Security

  • No dependency vulnerabilities
  • Authentication/authorization tested
  • Input validation complete
  • Secrets not in source code
  • Security headers configured

Deployment

  • Native compilation successful
  • Container image builds
  • Health checks respond correctly
  • Configuration valid for target environment

Native Image

  • Native executable builds
  • Native tests pass
  • Startup time < 100ms
  • Memory footprint acceptable

Automated Verification Script

bash
#!/bin/bash
set -e

echo "=== Phase 1: Build ==="
mvn clean verify -DskipTests

echo "=== Phase 2: Static Analysis ==="
mvn checkstyle:check pmd:check spotbugs:check

echo "=== Phase 3: Tests + Coverage ==="
mvn test jacoco:report jacoco:check

echo "=== Phase 4: Security Scan ==="
mvn org.owasp:dependency-check-maven:check

echo "=== Phase 5: Native Compilation ==="
mvn package -Dnative -Dquarkus.native.container-build=true

echo "=== All Phases Complete ==="
echo "Review reports:"
echo "  - Coverage: target/site/jacoco/index.html"
echo "  - Security: target/dependency-check-report.html"
echo "  - Native: target/*-runner"

CI/CD Integration

GitHub Actions Example

yaml
name: Verification

on: [push, pull_request]

jobs:
  verify:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Set up JDK 21
        uses: actions/setup-java@v3
        with:
          java-version: '21'
          distribution: 'temurin'
      
      - name: Cache Maven packages
        uses: actions/cache@v3
        with:
          path: ~/.m2
          key: ${{ runner.os }}-m2-${{ hashFiles('**/pom.xml') }}
      
      - name: Build
        run: mvn clean verify -DskipTests
      
      - name: Test with Coverage
        run: mvn test jacoco:report jacoco:check
      
      - name: Security Scan
        run: mvn org.owasp:dependency-check-maven:check
      
      - name: Upload Coverage
        uses: codecov/codecov-action@v3
        with:
          files: target/site/jacoco/jacoco.xml

Best Practices

  • Run verification loop before every PR
  • Automate in CI/CD pipeline
  • Fix issues immediately; don't accumulate debt
  • Keep coverage above 80%
  • Update dependencies regularly
  • Test native compilation periodically
  • Monitor performance trends
  • Document breaking changes
  • Review security scan results
  • Validate configuration for each environment

Frequently asked questions

What does the Quarkus Verification AI skill do?

Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.

Why use Quarkus Verification on TypingMind?

Because you install it once and use it with any model. Quarkus Verification is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Quarkus Verification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Fmarzochi/EGC/tree/main/skills/backend/quarkus-verification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quarkus Verification?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Quarkus Verification?

As many as you like. As long as a model supports skills, you can use Quarkus Verification with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Quarkus Verification AI skill free?

Yes. It is published on GitHub by Fmarzochi under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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