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springboot-verification

Spring Boot 项目的验证循环:构建、静态分析、带覆盖率的测试、安全扫描以及发布或 PR 前的差异审查。

springboot-verification 是什么?

Spring Boot Verification Loop 是一个面向 Spring Boot 项目的全流程验证技能,适用于开发者工具(如 Claude Code、Coder 等)。它在 PR 提交前、重大重构后以及部署前自动执行构建、静态分析、测试(含覆盖率)、安全扫描和差异审查。该技能支持 Maven 和 Gradle 构建系统,集成了 SpotBugs、PMD、Checkstyle、JaCoCo、Dependency-Check 等工具,并提供 Testcontainers 和 MockMvc 集成测试示例。其核心价值在于通过严格的自动化流水线早期捕获缺陷,确保代码质量、安全性和测试覆盖率达标,并输出标准化的验证报告,帮助团队在开发阶段降低风险。

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文档

Spring Boot 验证循环

在 PR 前、重大变更后以及部署前运行。

何时激活

  • 为 Spring Boot 服务提交拉取请求之前
  • 重大重构或依赖升级之后
  • 针对 staging 或 production 的部署前验证
  • 运行完整的构建 → 代码检查 → 测试 → 安全扫描流水线
  • 验证测试覆盖率是否满足阈值

阶段 1:构建

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

如果构建失败,停止并修复。

阶段 2:静态分析

Maven(常用插件):

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

Gradle(如果已配置):

./gradlew checkstyleMain pmdMain spotbugsMain

阶段 3:测试 + 覆盖率

mvn -T 4 test
mvn jacoco:report   # 验证 80%+ 的覆盖率
# 或
./gradlew test jacocoTestReport

报告:

  • 总测试数、通过/失败
  • 覆盖率%(行/分支)

单元测试

在隔离环境中测试服务逻辑,使用模拟依赖:

@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);
  }
}

使用 Testcontainers 的集成测试

针对真实数据库进行测试,而非 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");
  }
}

使用 MockMvc 的 API 测试

在完整的 Spring 上下文中测试控制器层:

@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());
  }
}

阶段 4:安全扫描

# 依赖 CVE 扫描
mvn org.owasp:dependency-check-maven:check
# 或
./gradlew dependencyCheckAnalyze

# 源码中的密钥检测
grep -rn "password\s*=\s*\"" src/ --include="*.java" --include="*.yml" --include="*.properties"
grep -rn "sk-\|api_key\|secret" src/ --include="*.java" --include="*.yml"

# Git 历史中的密钥检测
git secrets --scan  # 如果已配置

常见安全问题

# 检查 System.out.println(应使用日志记录器)
grep -rn "System\.out\.print" src/main/ --include="*.java"

# 检查响应中原始异常信息
grep -rn "e\.getMessage()" src/main/ --include="*.java"

# 检查通配符 CORS
grep -rn "allowedOrigins.*\*" src/main/ --include="*.java"

阶段 5:代码格式化(可选门禁)

mvn spotless:apply   # 如果使用 Spotless 插件
./gradlew spotlessApply

阶段 6:差异审查

git diff --stat
git diff

检查清单:

  • 没有遗留的调试日志(System.out,未加守卫的 log.debug)
  • 有意义的错误信息和 HTTP 状态码
  • 在需要的地方存在事务和验证
  • 配置变更已记录

输出模板

验证报告
===================
构建:     [通过/失败]
静态分析: [通过/失败] (spotbugs/pmd/checkstyle)
测试:     [通过/失败] (X/Y 通过, Z% 覆盖率)
安全:     [通过/失败] (CVE 发现数:N)
差异:     [X 个文件被修改]

总体:     [就绪 / 未就绪]

需要修复的问题:
1. ...
2. ...

持续模式

  • 在有显著变更时或长时间会话中每 30–60 分钟重新运行各阶段
  • 保持短循环:mvn -T 4 test + spotbugs 以快速获得反馈

记住:快速反馈胜过迟来的意外。保持门禁严格——在生产系统中将警告视作缺陷。

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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