everything-claude-code-zh is a Chinese translation of a collection of configurations for Claude Code and other AI coding agents. It provides agents, skills, hooks, commands, rules, and MCP configurations intended to support development workflows such as memory persistence, security scanning, evaluation, and research-first work. The catalogue includes commands, skills, agents, instructions, and a plugin from this configuration set.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/xu-xiang/everything-claude-code-zh/verifygit clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zhWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/xu-xiang/everything-claude-code-zh/verify)<a href="https://agentmods.dev/commands/xu-xiang/everything-claude-code-zh/verify"><img src="https://agentmods.dev/badge/commands/xu-xiang/everything-claude-code-zh/verify.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00008 | $0.00542 |
| Opus 5 | $0.00004 | $0.00271 |
| Sonnet 5 | $0.00002 | $0.00108 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
verify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
验证（Verify）命令
运行验证循环（verification loop）以校验实现结果：$ARGUMENTS
你的任务
执行全面验证：
- 类型检查（Type Check）：
npx tsc --noEmit - Lint 检查：
npm run lint - 单元测试（Unit Tests）：
npm test - 集成测试（Integration Tests）：
npm run test:integration（如果可用） - 构建（Build）：
npm run build - 覆盖率检查（Coverage Check）：验证 80% 以上的覆盖率
验证清单（Verification Checklist）
代码质量
- 无 TypeScript 错误
- 无 Lint 警告
- 无 console.log 语句
- 函数行数 < 50 行
- 文件行数 < 800 行
测试
- 所有测试通过
- 覆盖率 >= 80%
- 覆盖边缘用例
- 测试异常情况
安全
- 无硬编码密钥
- 已包含输入校验
- 无 SQL 注入风险
- 无 XSS 漏洞
构建
- 构建成功
- 无警告
- 包大小（Bundle size）在可接受范围内
验证报告（Verification Report）
总结
- 状态：✅ 通过（PASS） / ❌ 失败（FAIL）
- 分数：通过了 X/Y 项检查
详情
| 检查项 | 状态 | 备注 |
|---|---|---|
| TypeScript | ✅/❌ | [详情] |
| Lint | ✅/❌ | [详情] |
| 测试 | ✅/❌ | [详情] |
| 覆盖率 | ✅/❌ | XX% (目标: 80%) |
| 构建 | ✅/❌ | [详情] |
待办事项（Action Items）
[如果失败，列出需要修复的内容]
注意：在每次提交（commit）和拉取请求（PR）之前都应运行验证循环。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 68 lines · 8 tokens per session scan A c7e032dd28c7
verify is a command published in the GitHub repository xu-xiang/everything-claude-code-zh (1,927 stars, last pushed 6mo ago), licensed MIT. It adds 8 tokens to every session and 542 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
test
Generate comprehensive tests.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].
commit
智能生成 Git 提交信息并提交.
pr
Handle the full workflow from current branch state to an open, CI-monitored pull request.
doctor.es
Diagnostica problemas de inferencia LLM en Mac: asiai doctor verifica el estado de los motores, conflictos de puertos, carga de modelos y estado de la GPU.