Springboot Verification logo

Springboot Verification

CommunityPopular
xu-xiang
springboot-verification

Spring Boot 项目的验证循环：构建、静态分析、带有覆盖率的测试、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
1.9K
Forks
318
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.
  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/ja-JP/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、发生重大变更后或部署前执行。

阶段 1：构建

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

如果构建失败，请停止并修复问题。

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   # 确认覆盖率是否达到 80% 以上
# 或者
./gradlew test jacocoTestReport

报告内容：

  • 测试总数、通过/失败数
  • 覆盖率 %（行/分支）

阶段 4：安全扫描

bash
# 依赖项 CVE 漏洞扫描
mvn org.owasp:dependency-check-maven:check
# 或者
./gradlew dependencyCheckAnalyze

# 敏感信息/密钥扫描（git）
git secrets --scan  # 如果已配置

阶段 5：Lint/格式化（可选门禁）

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

阶段 6：差异审查 (Diff Review)

bash
git diff --stat
git diff

检查清单：

  • 无残留的调试日志（如 System.out、无级别保护的 log.debug）
  • 具有明确语义的错误信息和 HTTP 状态码
  • 在必要位置包含了事务（Transaction）和校验（Validation）
  • 配置变更已记录在文档中

输出模板

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

整体状态:   [就绪 / 未完成]

需要修复的问题：
1. ...
2. ...

持续模式

  • 发生重大变更或在长会话中，每 30~60 分钟重新运行一次各阶段。
  • 保持短循环：通过 mvn -T 4 test + spotbugs 获取快速反馈。

注意：及时的反馈优于迟来的意外。请保持门禁（Gates）严格，并在生产系统中将警告视为缺陷。

Frequently asked questions

What does the Springboot Verification AI skill do?

Spring Boot 项目的验证循环：构建、静态分析、带有覆盖率的测试、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/ja-JP/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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