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springboot-verification

Ciclo de verificação para projetos Spring Boot: build, análise estática, testes com cobertura, varreduras de segurança e revisão de diff antes de PR ou release.

O que é springboot-verification?

Esta skill automatiza um ciclo completo de verificação para projetos Spring Boot, agindo como um guardião de qualidade antes de pull requests, grandes refatorações ou deploys. Ela executa seis fases principais: build (com Maven ou Gradle), análise estática (SpotBugs, PMD, Checkstyle), testes com cobertura (incluindo testes unitários com Mockito, testes de integração com Testcontainers e testes de API com MockMvc), varredura de segurança (OWASP Dependency Check, busca de segredos), lint/format opcional e revisão de diff. Suporta tanto Maven quanto Gradle, fornecendo comandos específicos para cada ferramenta. A skill é útil porque padroniza o processo de verificação, garante que o código atenda a thresholds de cobertura (ex.: 80%+), identifica vulnerabilidades e segredos expostos, e gera um relatório consolidado para rápida tomada de decisão sobre a prontidão do código para integração ou deploy. Pode ser executada continuamente em sessões longas, mantendo um loop rápido de feedback.

Funciona com~Claude Code~Codex CLI~Cursor
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Documentação

Ciclo de Verificação Spring Boot

Execute antes de PRs, após mudanças importantes e pré-deploy.

Quando Ativar

  • Antes de abrir um pull request para um serviço Spring Boot
  • Após grandes refatorações ou upgrades de dependências
  • Verificação pré-deploy para staging ou produção
  • Executar pipeline completo: build → lint → teste → varredura de segurança
  • Validar se a cobertura de testes atende aos thresholds

Fase 1: Build

mvn -T 4 clean verify -DskipTests
# ou
./gradlew clean assemble -x test

Se o build falhar, pare e corrija.

Fase 2: Análise Estática

Maven (plugins comuns):

mvn -T 4 spotbugs:check pmd:check checkstyle:check

Gradle (se configurado):

./gradlew checkstyleMain pmdMain spotbugsMain

Fase 3: Testes + Cobertura

mvn -T 4 test
mvn jacoco:report   # verificar 80%+ de cobertura
# ou
./gradlew test jacocoTestReport

Relatório:

  • Total de testes, aprovados/reprovados
  • % de cobertura (linhas/ramos)

Testes Unitários

Testar a lógica do serviço isoladamente com dependências simuladas:

@ExtendWith(MockitoExtension.class)
class UserServiceTest {

  @Mock private UserRepository userRepository;
  @InjectMocks private UserService userService;

  @Test
  void createUser_validInput_returnsUser() {
    var dto = new CreateUserDto("Alice", "[email protected]");
    var expected = new User(1L, "Alice", "[email protected]");
    when(userRepository.save(any(User.class))).thenReturn(expected);

    var result = userService.create(dto);

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

  @Test
  void createUser_duplicateEmail_throwsException() {
    var dto = new CreateUserDto("Alice", "[email protected]");
    when(userRepository.existsByEmail(dto.email())).thenReturn(true);

    assertThatThrownBy(() -> userService.create(dto))
        .isInstanceOf(DuplicateEmailException.class);
  }
}

Testes de Integração com Testcontainers

Testar contra um banco de dados real em vez de H2:

@SpringBootTest
@Testcontainers
class UserRepositoryIntegrationTest {

  @Container
  static PostgreSQLContainer<?> postgres = new PostgreSQLContainer<>("postgres:16-alpine")
      .withDatabaseName("testdb");

  @DynamicPropertySource
  static void configureProperties(DynamicPropertyRegistry registry) {
    registry.add("spring.datasource.url", postgres::getJdbcUrl);
    registry.add("spring.datasource.username", postgres::getUsername);
    registry.add("spring.datasource.password", postgres::getPassword);
  }

  @Autowired private UserRepository userRepository;

  @Test
  void findByEmail_existingUser_returnsUser() {
    userRepository.save(new User("Alice", "[email protected]"));

    var found = userRepository.findByEmail("[email protected]");

    assertThat(found).isPresent();
    assertThat(found.get().getName()).isEqualTo("Alice");
  }
}

Testes de API com MockMvc

Testar a camada de controle com contexto Spring completo:

@WebMvcTest(UserController.class)
class UserControllerTest {

  @Autowired private MockMvc mockMvc;
  @MockBean private UserService userService;

  @Test
  void createUser_validInput_returns201() throws Exception {
    var user = new UserDto(1L, "Alice", "[email protected]");
    when(userService.create(any())).thenReturn(user);

    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "[email protected]"}
                """))
        .andExpect(status().isCreated())
        .andExpect(jsonPath("$.name").value("Alice"));
  }

  @Test
  void createUser_invalidEmail_returns400() throws Exception {
    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "not-an-email"}
                """))
        .andExpect(status().isBadRequest());
  }
}

Fase 4: Varredura de Segurança

# CVEs de dependências
mvn org.owasp:dependency-check-maven:check
# ou
./gradlew dependencyCheckAnalyze

# Segredos no código-fonte
grep -rn "password\s*=\s*\"" src/ --include="*.java" --include="*.yml" --include="*.properties"
grep -rn "sk-\|api_key\|secret" src/ --include="*.java" --include="*.yml"

# Segredos (histórico do git)
git secrets --scan  # se configurado

Achados Comuns de Segurança

# Verificar por System.out.println (usar logger no lugar)
grep -rn "System\.out\.print" src/main/ --include="*.java"

# Verificar por mensagens de exceção brutas nas respostas
grep -rn "e\.getMessage()" src/main/ --include="*.java"

# Verificar por CORS com curinga
grep -rn "allowedOrigins.*\*" src/main/ --include="*.java"

Fase 5: Lint/Formatação (portão opcional)

mvn spotless:apply   # se usando plugin Spotless
./gradlew spotlessApply

Fase 6: Revisão de Diff

git diff --stat
git diff

Checklist:

  • Nenhum log de depuração deixado (System.out, log.debug sem proteções)
  • Erros e status HTTP significativos
  • Transações e validação presentes onde necessário
  • Mudanças de configuração documentadas

Template de Saída

RELATÓRIO DE VERIFICAÇÃO
=========================
Build:     [APROVADO/REPROVADO]
Estático:  [APROVADO/REPROVADO] (spotbugs/pmd/checkstyle)
Testes:    [APROVADO/REPROVADO] (X/Y aprovados, Z% cobertura)
Segurança: [APROVADO/REPROVADO] (Achados CVE: N)
Diff:      [X arquivos alterados]

Geral:     [PRONTO / NÃO PRONTO]

Problemas a Corrigir:
1. ...
2. ...

Modo Contínuo

  • Re-executar fases em mudanças significativas ou a cada 30–60 minutos em sessões longas
  • Manter um loop curto: mvn -T 4 test + spotbugs para feedback rápido

Lembre-se: Feedback rápido é melhor que surpresas tardias. Mantenha o portão rigoroso—trate avisos como defeitos em sistemas de produção.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

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