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Springboot Verification

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xu-xiang
springboot-verification

Spring Boot项目验证循环:构建、静态分析、测试覆盖、安全扫描,以及发布或PR前的差异审查。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill namespringboot-verification
Stars
2K
Forks
327
Bundled files
Instructions only
LicenseMIT
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 xu-xiang on GitHub. Read the source before you install it.

Installation

Install the Springboot 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/xu-xiang/everything-claude-code-zh/tree/main/docs/zh-CN/skills/springboot-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/xu-xiang/everything-claude-code-zh.git /tmp/everything-claude-code-zh
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code-zh/docs/zh-CN/skills/springboot-verification .claude/skills/springboot-verification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Springboot 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 Springboot 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 Springboot 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.

Spring Boot 验证循环

在提交 PR 前、重大变更后以及部署前运行。

何时激活

  • 为 Spring Boot 服务开启拉取请求之前
  • 在重大重构或依赖项升级之后
  • 用于暂存或生产环境的部署前验证
  • 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

bash
mvn -T 4 clean verify -DskipTests
# or
./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):

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

Gradle(如果已配置):

bash
./gradlew checkstyleMain pmdMain spotbugsMain

阶段 3:测试 + 覆盖率

bash
mvn -T 4 test
mvn jacoco:report   # verify 80%+ coverage
# or
./gradlew test jacocoTestReport

报告:

  • 总测试数,通过/失败
  • 覆盖率百分比(行/分支)

单元测试

使用模拟的依赖项来隔离测试服务逻辑:

java
@ExtendWith(MockitoExtension.class)
class UserServiceTest {

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

  @Test
  void createUser_validInput_returnsUser() {
    var dto = new CreateUserDto("Alice", "alice@example.com");
    var expected = new User(1L, "Alice", "alice@example.com");
    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", "existing@example.com");
    when(userRepository.existsByEmail(dto.email())).thenReturn(true);

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

使用 Testcontainers 进行集成测试

针对真实数据库(而非 H2)进行测试:

java
@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", "alice@example.com"));

    var found = userRepository.findByEmail("alice@example.com");

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

使用 MockMvc 进行 API 测试

在完整的 Spring 上下文中测试控制器层:

java
@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", "alice@example.com");
    when(userService.create(any())).thenReturn(user);

    mockMvc.perform(post("/api/users")
            .contentType(MediaType.APPLICATION_JSON)
            .content("""
                {"name": "Alice", "email": "alice@example.com"}
                """))
        .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

bash
# Dependency CVEs
mvn org.owasp:dependency-check-maven:check
# or
./gradlew dependencyCheckAnalyze

# Secrets in source
grep -rn "password\s*=\s*\"" src/ --include="*.java" --include="*.yml" --include="*.properties"
grep -rn "sk-\|api_key\|secret" src/ --include="*.java" --include="*.yml"

# Secrets (git history)
git secrets --scan  # if configured

常见安全发现

# Check for System.out.println (use logger instead)
grep -rn "System\.out\.print" src/main/ --include="*.java"

# Check for raw exception messages in responses
grep -rn "e\.getMessage()" src/main/ --include="*.java"

# Check for wildcard CORS
grep -rn "allowedOrigins.*\*" src/main/ --include="*.java"

阶段 5:代码检查/格式化(可选关卡)

bash
mvn spotless:apply   # if using Spotless plugin
./gradlew spotlessApply

阶段 6:差异审查

bash
git diff --stat
git diff

检查清单:

  • 没有遗留调试日志(System.out、log.debug 没有防护)
  • 有意义的错误信息和 HTTP 状态码
  • 在需要的地方有事务和验证
  • 配置变更已记录

输出模板

VERIFICATION REPORT
===================
Build:     [PASS/FAIL]
Static:    [PASS/FAIL] (spotbugs/pmd/checkstyle)
Tests:     [PASS/FAIL] (X/Y passed, Z% coverage)
Security:  [PASS/FAIL] (CVE findings: N)
Diff:      [X files changed]

Overall:   [READY / NOT READY]

Issues to Fix:
1. ...
2. ...

持续模式

  • 在重大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 以获取快速反馈

记住:快速反馈胜过意外惊喜。保持关卡严格——将警告视为生产系统中的缺陷。

Frequently asked questions

What does the Springboot Verification AI skill do?

Spring Boot项目验证循环:构建、静态分析、测试覆盖、安全扫描,以及发布或PR前的差异审查。

Why use Springboot Verification on TypingMind?

Because you install it once and use it with any model. Springboot 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 Springboot Verification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/zh-CN/skills/springboot-verification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Springboot 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 Springboot Verification?

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

Is the Springboot Verification AI skill free?

Yes. It is published on GitHub by xu-xiang under the MIT 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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