把别人的开源项目"抄"过来，洗一遍变成你自己的。
Clone any open-source project, rebrand it, and ship it as your own.
你看到一个开源项目，心想："这东西真好，要是叫我的名字就好了。"
CodeCloner 就是一个 AI Agent 技能文件。你给它一个开源项目链接，说一声 [激活抄袭者]，AI 就会自动帮你：
- 🔍 查清项目能不能抄、怎么抄（许可证检查）
- 📋 大白话告诉你项目是什么、有什么、要改哪里
- ✏️ 按你的要求改名字、换品牌、删功能、加功能
- ✅ 验证改完的东西能跑
- 📦 打包交付，推到你的仓库
全程不用写一行代码。你只管提需求，AI 帮你干活。
CodeCloner 不绑定任何平台——任何能读 markdown 指令的 AI Agent 都能用：
| 平台 | 怎么用 |
|---|---|
| 🟣 Claude Code | 原生 Skill 格式，直接放到 ~/.claude/skills/ 或项目 .claude/skills/ |
| 🟢 OpenAI Codex | 把 SKILL.md 内容贴进项目根目录的 AGENTS.md 或作为 system prompt |
| 🟡 OpenClaw | 作为 Agent 指令文件导入，或贴进对话开头 |
| 🔵 Hermes Agent | 作为 skill/instruction 文件加载，或贴进 system prompt |
| 🔘 其他 AI Agent | 只要能读 markdown 规则，就能用 |
Claude Code
# 全局安装（所有项目都能用）
git clone https://github.com/Eamon3949/CodeCloner.git ~/.claude/skills/CodeCloner
# 项目级安装（只在当前项目能用）
git clone https://github.com/Eamon3949/CodeCloner.git .claude/skills/CodeCloner装完后在任何对话里输入 [激活抄袭者] + 项目链接即可触发。
OpenAI Codex
cp SKILL.md /your/project/AGENTS.mdOpenClaw / Hermes Agent / 其他平台
把 SKILL.md 的内容复制粘贴到对话开头，或作为 system prompt / instruction 文件导入。
| 特点 | 说明 |
|---|---|
| 🛡️ 许可证把关 | 自动检查 MIT / Apache / GPL 等许可证，告诉你能不能抄、要遵守什么 |
| 🔤 命名全覆盖 | PascalCase、camelCase、kebab-case、snake_case、常量、URL 全部替换，一个不漏 |
| 🧹 品牌清洗 | 按 P0 / P1 / P2 优先级逐项清洗，内置 0-100 分干净度评分系统 |
| 💬 大白话汇报 | 全程用你听得懂的话解释，不懂代码也能做决策 |
| 🔇 静音模式 | 加上 --auto 全自动跑，只在你需要的时候才打断你 |
| 📖 参考文档 | 附带 4 份详细参考（工作流、品牌清单、命名变体、评分系统） |
你需要什么？
- 一个 GitHub / GitLab / Bitbucket 账号
- 安装了 Git
- 安装了 Claude Code 或 Codex 或其他 AI Agent 工具
- 如果要自动推送仓库：安装 GitHub CLI (gh)
- 不需要懂代码
三步搞定
第 1 步 ── 发送项目链接
你：https://github.com/某人/某个项目 [激活抄袭者]
第 2 步 ── 看报告，提需求
AI：📋 可行性报告：MIT 协议 ✅ 可以抄，约 120 个文件，预计分 2-3 批改完
你：项目叫 MyApp，去掉社区功能
第 3 步 ── 等交付
AI：✅ 改完了！已推送到你的仓库
静音模式
你：https://github.com/某人/某个项目 [激活抄袭者] --auto
AI：（安静地干活，只在出问题时才问你）
┌─────────────┐
│ 第 0 步 │ 🛡️ 可行性评估 → 许可证检查 / 规模评估 / 技术栈检查
└──────┬──────┘
│ ✅ 可行
▼
┌─────────────┐
│ 第 1 步 │ 🔍 项目拆解 → 克隆仓库 / 分析结构 / 识别品牌要素
└──────┬──────┘
▼
┌─────────────┐
│ 第 2 步 │ 📋 大白话汇报 → 一句话说清楚 / 核心亮点 / 问你想改什么
└──────┬──────┘
▼
┌─────────────┐
│ 第 3 步 │ ✏️ 交互式重构 → 品牌清洗 / 功能裁剪 / 功能增强
└──────┬──────┘
▼
┌─────────────┐
│ 第 4 步 │ ✅ 冒烟验证 → 编译检查 / 安全扫描 / 运行验证 / 干净度评分
└──────┬──────┘
▼
┌─────────────┐
│ 第 5 步 │ 📦 极简交付 → Dockerfile / 一键启动脚本 / 推送仓库
└─────────────┘
| 维度 | 满分 | 扣分规则 | 说明 |
|---|---|---|---|
| P0 核心替换 | 40 | 每处残留扣 5 分 | 项目名没换完 = 侵权风险 |
| P0 包名/import | 30 | 每处残留扣 10 分 | import 路径没改 = 项目跑不起来 |
| P1 文档配置 | 15 | 每处残留扣 3 分 | README、package.json 里的旧名 |
| P2 辅助信息 | 15 | 每处残留扣 1 分 | CHANGELOG 中的历史记录 |
| 分数 | 等级 | 结论 |
|---|---|---|
| 95-100 | 🟢 A | 可以放心推送 |
| 80-94 | 🟡 B | 可以交付，P2 有合理残留 |
| 60-79 | 🟠 C | 不建议交付，继续洗 |
| < 60 | 🔴 D | 禁止交付 |
| 许可证 | 能不能抄 | 归因要求 |
|---|---|---|
| MIT | ✅ 能 | 保留版权声明 |
| Apache-2.0 | ✅ 能 | 保留版权 + NOTICE |
| BSD | ✅ 能 | 保留版权声明 |
| GPL | 你的项目也必须开源 | |
| AGPL | 网络服务也要开源 | |
| Unlicense | ✅ 能 | 无要求 |
| 无许可证 | 🚫 不能 | 法律上 = 保留所有权利 |
- 本 Skill 产生的项目基于原项目的开源许可证，请遵守原作者的许可条款
- GPL / AGPL 项目抄完后必须同样开源，这是法律要求，不是建议
- 不要删除原作者的 LICENSE 文件，而是替换版权声明中的作者名和项目名
- 商业使用请确保获得原项目作者授权
CodeCloner/
├── SKILL.md ← 技能入口（6 步工作流规则）
├── VERSION ← 版本号
├── LICENSE ← MIT 许可证
├── CHANGELOG.md ← 变更日志
├── logo.svg ← 项目 Logo
├── README.md ← 你正在看的这个文件
├── .gitignore
└── references/
├── workflow.md ← 详细工作流（含技术栈决策树）
├── branding-checklist.md ← 品牌清洗清单（P0/P1/P2 优先级 + grep 模板）
├── naming-variants.md ← 命名变体映射规则（8 种变体全覆盖）
└── cleanliness-score.md ← 干净度评分系统（0-100 分）
| 文档 | 一句话说明 |
|---|---|
| workflow.md | 每一步具体干什么、怎么干、遇到问题怎么办 |
| branding-checklist.md | 改名字时照着这个清单走，P0 是必须改的 |
| naming-variants.md | 项目名的 8 种变体形式，替换时一个不漏 |
| cleanliness-score.md | 0-100 分评分系统，90 分以上才允许交付 |
欢迎贡献！你可以：
- 提 Bug — 在 Issues 里描述问题
- 提建议 — 在 Issues 里标记为
enhancement - 提 PR — Fork 仓库，改完后提 Pull Request
- 加平台 — 如果你用过的 AI Agent 平台不在列表里，告诉我们怎么适配
贡献前请确保：
- 改动不影响 SKILL.md 的通用性（不要加平台特定的硬编码）
- 新加的参考文档放在
references/下 - 更新 CHANGELOG.md
You found an amazing open-source project. You love it. But it's not yours.
CodeCloner is an AI Agent Skill that automates the entire fork → rebrand → ship workflow. Give it any open-source repo URL, say [activate cloner], and the AI will:
- 🔍 Check if the project can be legally cloned (license compatibility)
- 📋 Explain what the project does in plain language
- ✏️ Rebrand everything — rename, swap logos, remove/add features per your instructions
- ✅ Verify the result actually runs (smoke test + security scan)
- 📦 Package it up and push to YOUR repository
Zero code required. You make decisions. The AI does the work.
CodeCloner is not locked to any single platform — any AI agent that reads markdown instructions can use it:
| Platform | How to use |
|---|---|
| 🟣 Claude Code | Native Skill format — drop into ~/.claude/skills/ or project .claude/skills/ |
| 🟢 OpenAI Codex | Paste SKILL.md content into your project's AGENTS.md or use as system prompt |
| 🟡 OpenClaw | Import as agent instruction file, or paste at the start of a conversation |
| 🔵 Hermes Agent | Load as skill/instruction file, or paste into system prompt |
| 🔘 Other AI Agents | If it reads markdown rules, it works |
Claude Code
# Global install (available in all projects)
git clone https://github.com/Eamon3949/CodeCloner.git ~/.claude/skills/CodeCloner
# Project-level install (current project only)
git clone https://github.com/Eamon3949/CodeCloner.git .claude/skills/CodeClonerThen type [activate cloner] + a project URL in any conversation to trigger it.
OpenAI Codex
cp SKILL.md /your/project/AGENTS.mdOpenClaw / Hermes Agent / Other platforms
Copy-paste the content of SKILL.md at the start of your conversation, or import it as a system prompt / instruction file. It's universal markdown — no special adaptation needed.
| Feature | Description |
|---|---|
| 🛡️ License Guard | Automatically checks MIT / Apache / GPL licenses — tells you if you can clone it and what you must comply with |
| 🔤 Full Name Coverage | Not just a find-and-replace — handles PascalCase, camelCase, kebab-case, snake_case, SCREAMING_SNAKE, constants, and URLs. All 8 variants, zero misses |
| 🧹 Brand Cleanup | P0 / P1 / P2 priority-based cleanup with a built-in 0-100 Cleanliness Score system |
| 💬 Plain Language Reports | Explains everything in terms anyone can understand — no coding knowledge needed |
| 🔇 Silent Mode | Add --auto for fully hands-off operation. Only interrupts you when it really needs to |
| 📖 Reference Docs | 4 detailed references included (workflow, branding checklist, naming variants, scoring system) |
What you need:
- A GitHub / GitLab / Bitbucket account
- Git installed
- Claude Code or Codex or another AI Agent tool installed
- For auto-push: GitHub CLI (gh) installed
- No coding knowledge required
Three steps:
Step 1 ── Send the project URL
You: https://github.com/someone/some-project [activate cloner]
Step 2 ── Read the report, give instructions
AI: 📋 Feasibility: MIT license ✅, ~120 files, 2-3 batches estimated
You: Name it MyApp, remove the community features
Step 3 ── Wait for delivery
AI: ✅ Done! Pushed to your repository
Silent mode
Don't want step-by-step questions? Add --auto — the AI runs on defaults and only interrupts if something goes wrong:
You: https://github.com/someone/some-project [activate cloner] --auto
AI: (quietly working, only asks when something needs your decision)
┌─────────────┐
│ Step 0 │ 🛡️ Feasibility → License check / Scale assessment / Tech stack
└──────┬──────┘
│ ✅ viable
▼
┌─────────────┐
│ Step 1 │ 🔍 Analysis → Clone repo / Map structure / Identify brand elements
└──────┬──────┘
▼
┌─────────────┐
│ Step 2 │ 📋 Briefing → One-liner summary / Key highlights / Ask what to change
└──────┬──────┘
▼
┌─────────────┐
│ Step 3 │ ✏️ Rebranding → Brand cleanup / Feature trimming / Feature additions
└──────┬──────┘
▼
┌─────────────┐
│ Step 4 │ ✅ Verification → Compile check / Security scan / Runtime test / Cleanliness score
└──────┬──────┘
▼
┌─────────────┐
│ Step 5 │ 📦 Delivery → Dockerfile / One-click scripts / Push to repo
└─────────────┘
How clean is "clean enough"? We quantify it:
| Dimension | Max | Deduction | Meaning |
|---|---|---|---|
| P0 Core Names | 40 | -5 per miss | Unreplaced project names = legal risk |
| P0 Imports | 30 | -10 per miss | Unreplaced imports = project won't run |
| P1 Docs/Config | 15 | -3 per miss | Old names in README, package.json, etc. |
| P2 Misc | 15 | -1 per miss | Historical entries in CHANGELOG |
| Score | Grade | Verdict |
|---|---|---|
| 95-100 | 🟢 A | Ship it |
| 80-94 | 🟡 B | Deliverable, minor P2 residue |
| 60-79 | 🟠 C | Not recommended, keep cleaning |
| < 60 | 🔴 D | Delivery blocked |
| License | Can clone? | Attribution required |
|---|---|---|
| MIT | ✅ Yes | Keep copyright notice |
| Apache-2.0 | ✅ Yes | Keep copyright + NOTICE |
| BSD | ✅ Yes | Keep copyright notice |
| GPL | Your project must also be open-source | |
| AGPL | Network services must also be open-source | |
| Unlicense | ✅ Yes | None |
| No license | 🚫 No | Legally = all rights reserved |
- Projects produced by this Skill are subject to the original project's open-source license — comply with the original author's terms
- GPL / AGPL projects must remain open-source after cloning — this is a legal requirement, not a suggestion
- Do not delete the original author's LICENSE file — replace the author name and project name in the copyright notice
- For commercial use, ensure you have the original author's authorization
CodeCloner/
├── SKILL.md ← Skill entry point (6-step workflow rules)
├── VERSION ← Version number
├── LICENSE ← MIT License
├── CHANGELOG.md ← Change log
├── logo.svg ← Project logo
├── README.md ← This file
├── .gitignore
└── references/
├── workflow.md ← Detailed workflow (with tech stack decision tree)
├── branding-checklist.md ← Brand cleanup checklist (P0/P1/P2 priorities + grep templates)
├── naming-variants.md ← Naming variant mapping rules (8 variants covered)
└── cleanliness-score.md ← Cleanliness scoring system (0-100)
| Document | One-liner |
|---|---|
| workflow.md | What to do at each step, how to do it, and what to do when things go wrong |
| branding-checklist.md | Follow this checklist when renaming — P0 items are mandatory |
| naming-variants.md | 8 naming variant forms — replace every single one |
| cleanliness-score.md | 0-100 scoring system — 90+ to ship |
Contributions welcome! You can:
- Report bugs — Describe the issue in Issues
- Suggest features — Tag as
enhancementin Issues - Submit PRs — Fork the repo, make changes, and open a Pull Request
- Add platforms — If your AI Agent platform isn't listed, tell us how to adapt it
Before contributing:
- Keep SKILL.md platform-agnostic (no platform-specific hardcoding)
- Put new reference docs under
references/ - Update CHANGELOG.md
This project is open-sourced under the MIT License.
本项目采用 MIT License 开源。
Made with 🔥 by Eamon3949