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Agent Skill · AI 工具

clean-code(干净的代码)

clean-code 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

clean-code 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,第三方扫描有未通过项,按安装量在AI 工具类的 2,536 个 Skill 里排第 146。

总安装 16,056周安装 669GitHub Stars 26,414下载 5,352核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:clean-code(干净的代码)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/clean-code
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill clean-code
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/davila7/claude-code-templates --skill clean-code

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

务实的编码标准强调简洁、单一责任和直接的解决方案。

涵盖五个核心原则:单一职责、DRY、KISS、YAGNI 和用于增量代码改进的 Boy Scout 规则 提供变量、函数、布尔值和常量的命名约定,旨在自我记录意图,而无需过多注释 强制执行函数规则:最多 20 行、一层抽象、最少的参数,并且没有意外的副作用 包括强制性的预编辑检查以识别相关文件和完成后验证以确保所有受影响的代码都得到更新和测试

来源仓库内路径:skills/clean-code

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/davila7/claude-code-templates --skill clean-co…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

clean-code 怎么安装?

在终端执行 npx skills add https://github.com/davila7/claude-code-templates --skill clean-code。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clean-code 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

clean-code 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

clean-code 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

clean-code 用的人多吗?

公开数据是累计安装 16,056 次,近一周安装 669 次,下载 5,352 次,GitHub 26,414 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

clean-code 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 26,414 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
clean-code

干净的代码 · 本页

16,05626,414操作浏览器MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Clean Code - Pragmatic AI Coding Standards

CRITICAL SKILL - Be concise, direct, and solution-focused.

Core Principles

PrincipleRule
SRPSingle Responsibility - each function/class does ONE thing
DRYDon't Repeat Yourself - extract duplicates, reuse
KISSKeep It Simple - simplest solution that works
YAGNIYou Aren't Gonna Need It - don't build unused features
Boy ScoutLeave code cleaner than you found it

Naming Rules

ElementConvention
VariablesReveal intent: userCount not n
FunctionsVerb + noun: getUserById() not user()
BooleansQuestion form: isActive, hasPermission, canEdit
ConstantsSCREAMING_SNAKE: MAX_RETRY_COUNT
Rule: If you need a comment to explain a name, rename it.

Function Rules

RuleDescription
SmallMax 20 lines, ideally 5-10
One ThingDoes one thing, does it well
One LevelOne level of abstraction per function
Few ArgsMax 3 arguments, prefer 0-2
No Side EffectsDon't mutate inputs unexpectedly

Code Structure

PatternApply
Guard ClausesEarly returns for edge cases
Flat > NestedAvoid deep nesting (max 2 levels)
CompositionSmall functions composed together
ColocationKeep related code close

AI Coding Style

SituationAction
User asks for featureWrite it directly
User reports bugFix it, don't explain
No clear requirementAsk, don't assume

Anti-Patterns (DON'T)

❌ Pattern✅ Fix
Comment every lineDelete obvious comments
Helper for one-linerInline the code
Factory for 2 objectsDirect instantiation
utils.ts with 1 functionPut code where used
"First we import..."Just write code
Deep nestingGuard clauses
Magic numbersNamed constants
God functionsSplit by responsibility

🔴 Before Editing ANY File (THINK FIRST!)

Before changing a file, ask yourself:

QuestionWhy
What imports this file?They might break
What does this file import?Interface changes
What tests cover this?Tests might fail
Is this a shared component?Multiple places affected

Quick Check:

File to edit: UserService.ts
└── Who imports this? → UserController.ts, AuthController.ts
└── Do they need changes too? → Check function signatures
🔴 Rule: Edit the file + all dependent files in the SAME task. 🔴 Never leave broken imports or missing updates.

Summary

DoDon't
Write code directlyWrite tutorials
Let code self-documentAdd obvious comments
Fix bugs immediatelyExplain the fix first
Inline small thingsCreate unnecessary files
Name things clearlyUse abbreviations
Keep functions smallWrite 100+ line functions
Remember: The user wants working code, not a programming lesson.

🔴 Self-Check Before Completing (MANDATORY)

Before saying "task complete", verify:

CheckQuestion
✅ Goal met?Did I do exactly what user asked?
✅ Files edited?Did I modify all necessary files?
✅ Code works?Did I test/verify the change?
✅ No errors?Lint and TypeScript pass?
✅ Nothing forgotten?Any edge cases missed?
🔴 Rule: If ANY check fails, fix it before completing.

Verification Scripts (MANDATORY)

🔴 CRITICAL: Each agent runs ONLY their own skill's scripts after completing work.

Agent → Script Mapping

AgentScriptCommand
frontend-specialistUX Auditpython ~/.claude/skills/frontend-design/scripts/ux_audit.py.
frontend-specialistA11y Checkpython ~/.claude/skills/frontend-design/scripts/accessibility_checker.py.
backend-specialistAPI Validatorpython ~/.claude/skills/api-patterns/scripts/api_validator.py.
mobile-developerMobile Auditpython ~/.claude/skills/mobile-design/scripts/mobile_audit.py.
database-architectSchema Validatepython ~/.claude/skills/database-design/scripts/schema_validator.py.
security-auditorSecurity Scanpython ~/.claude/skills/vulnerability-scanner/scripts/security_scan.py.
seo-specialistSEO Checkpython ~/.claude/skills/seo-fundamentals/scripts/seo_checker.py.
seo-specialistGEO Checkpython ~/.claude/skills/geo-fundamentals/scripts/geo_checker.py.
performance-optimizerLighthousepython ~/.claude/skills/performance-profiling/scripts/lighthouse_audit.py <url>
test-engineerTest Runnerpython ~/.claude/skills/testing-patterns/scripts/test_runner.py.
test-engineerPlaywrightpython ~/.claude/skills/webapp-testing/scripts/playwright_runner.py <url>
Any agentLint Checkpython ~/.claude/skills/lint-and-validate/scripts/lint_runner.py.
Any agentType Coveragepython ~/.claude/skills/lint-and-validate/scripts/type_coverage.py.
Any agenti18n Checkpython ~/.claude/skills/i18n-localization/scripts/i18n_checker.py.
❌ WRONG: test-engineer running ux_audit.py ✅ CORRECT: frontend-specialist running ux_audit.py

🔴 Script Output Handling (READ → SUMMARIZE → ASK)

When running a validation script, you MUST:

  1. Run the script and capture ALL output
  2. Parse the output - identify errors, warnings, and passes
  3. Summarize to user in this format:
## Script Results: [script_name.py]

### ❌ Errors Found (X items)
- [File:Line] Error description 1
- [File:Line] Error description 2

### ⚠️ Warnings (Y items)
- [File:Line] Warning description

### ✅ Passed (Z items)
- Check 1 passed
- Check 2 passed

**Should I fix the X errors?**
  1. Wait for user confirmation before fixing
  2. After fixing → Re-run script to confirm
🔴 VIOLATION: Running script and ignoring output = FAILED task. 🔴 VIOLATION: Auto-fixing without asking = Not allowed. 🔴 Rule: Always READ output → SUMMARIZE → ASK → then fix.

平台分布

Claude Code

32.54%
按下载量换算1,742

Cursor

22.74%
按下载量换算1,217

Antigravity

18.02%
按下载量换算964

OpenCode

13.24%
按下载量换算709

Gemini CLI

7.93%
按下载量换算424

Codex

3.91%
按下载量换算209

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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