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Verification Loop

CommunityPopular
xu-xiang
verification-loop

为 Claude Code 会话提供的全面验证系统。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill nameverification-loop
Stars
2K
Forks
325
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by xu-xiang on GitHub. Read the source before you install it.

Installation

Install the Verification Loop 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/.agents/skills/verification-loop
  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/.agents/skills/verification-loop .claude/skills/verification-loop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verification Loop 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 Verification Loop 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 Verification Loop 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.

验证循环技能 (Verification Loop Skill)

为 Claude Code 会话(Sessions)提供的全面验证系统。

何时使用

在以下场景调用此技能(Skill):

  • 完成功能开发或重大代码变更后
  • 创建拉取请求(PR)之前
  • 希望确保质量关卡(Quality Gates)全部通过时
  • 重构代码后

验证阶段

阶段 1:构建验证 (Build Verification)

bash
# 检查项目是否能成功构建
npm run build 2>&1 | tail -20
# 或者
pnpm build 2>&1 | tail -20

如果构建失败,请停止并在继续之前进行修复。

阶段 2:类型检查 (Type Check)

bash
# TypeScript 项目
npx tsc --noEmit 2>&1 | head -30

# Python 项目
pyright . 2>&1 | head -30

报告所有类型错误。在继续之前修复关键错误。

阶段 3:代码规范检查 (Lint Check)

bash
# JavaScript/TypeScript
npm run lint 2>&1 | head -30

# Python
ruff check . 2>&1 | head -30

阶段 4:测试套件 (Test Suite)

bash
# 运行带有覆盖率报告的测试
npm run test -- --coverage 2>&1 | tail -50

# 检查覆盖率阈值
# 目标:最低 80%

报告内容:

  • 测试总数:X
  • 通过:X
  • 失败:X
  • 覆盖率:X%

阶段 5:安全扫描 (Security Scan)

bash
# 检查是否存在密钥泄露
grep -rn "sk-" --include="*.ts" --include="*.js" . 2>/dev/null | head -10
grep -rn "api_key" --include="*.ts" --include="*.js" . 2>/dev/null | head -10

# 检查是否存在 console.log
grep -rn "console.log" --include="*.ts" --include="*.tsx" src/ 2>/dev/null | head -10

阶段 6:差异审查 (Diff Review)

bash
# 显示变更内容
git diff --stat
git diff HEAD~1 --name-only

审查每个变更的文件,重点关注:

  • 非预期的变更
  • 遗漏的错误处理
  • 潜在的边缘情况

输出格式

在运行所有阶段后,生成一份验证报告:

验证报告 (VERIFICATION REPORT)
==================

构建 (Build):       [通过/失败]
类型 (Types):       [通过/失败] (X 个错误)
规范 (Lint):        [通过/失败] (X 个警告)
测试 (Tests):       [通过/失败] (通过 X/Y,覆盖率 Z%)
安全 (Security):    [通过/失败] (X 个问题)
差异 (Diff):        [X 个文件已变更]

总体结论 (Overall): [就绪/未就绪] 提交 PR

待修复问题:
1. ...
2. ...

持续模式 (Continuous Mode)

对于长时间的会话,请每隔 15 分钟或在重大变更后运行一次验证:

markdown
设定心理检查点:
- 完成每个函数后
- 完成一个组件后
- 在转向下一个任务前

运行:/verify

与钩子(Hooks)集成

此技能是对 PostToolUse 钩子的补充,但提供了更深层次的验证。 钩子(Hooks)能立即捕获问题;此技能则提供全面的审查。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Verification Loop AI skill do?

为 Claude Code 会话提供的全面验证系统。

Why use Verification Loop on TypingMind?

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

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

Which AI models can use Verification Loop?

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 Verification Loop?

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

Is the Verification Loop 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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