reverse-skill:面向 AI Agent 的逆向与安全研究技能路由包
英文标题:🔥 zhaoxuya520/reverse-skill
开源项目 reverse-skill 为 Claude Code、Codex CLI、Cursor 等 AI 编程客户端提供逆向工程、授权渗透测试与安全研究的任务路由能力。它会根据 APK、二进制文件、前端 JavaScript 加密、CTF 或渗透目标等场景,选择对应方法论,检查本地工具并执行可复用工作流。项目覆盖 Android、iOS、二进制、恶意软件、API、供应链、LLM 安全、固件、Pwn 等多个方向,并支持按平台刷新工具索引。对开发者和安全团队而言,该项目旨在降低 AI Agent 选错工具和重复踩坑的风险,同时通过案例记录沉淀可演进的经验库。
1.6 MB
114.6 KB
中文
网络安全技能路由器 · 逆向技能路由包
穿越暗流,逆流而行。
🌐 中文
如果你是 AI Agent,请跳转至 README_AI.md,并严格遵循其中的指令。
当 AI Agent(Claude Code、Codex CLI、Cursor 等)遇到 APK、二进制文件、前端 JavaScript 加密、CTF 挑战或渗透测试目标时,该技能包会将其路由至正确的方法论,检查可用工具,并执行可重复的工作流,而非猜测应使用哪些命令。
用户任务
→ RULES.md
→ MASTER-ROUTING / master-route.ps1(主路由)
→ case-init / scope.md(授权 + network_profile;准备就绪前不对目标执行 ACT)
→ 场景技能 → 工具 / MCP / 脚本
→ timeline + Evidence→Finding→Path → 报告 + field-journal
项目存在的原因:
- AI Agent 不知道针对特定任务应使用 jadx、apktool、Frida、IDA 还是 BurpSuite。
- APK、ELF、JavaScript、PCAP 和 CTF 任务各自需要不同的操作手册。
- 工具、MCP 服务器和脚本分散在不同机器上。
- 由于经验无法复用,相同错误会被反复犯下。
主路由阶梯:skills/MASTER-ROUTING.md · 完整矩阵:skills/routing.md · 运维:skills/ops/
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Java / JDK — 用于 jadx 和 apktool
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Node.js 22.12+ — 用于 JavaScript 工具链和 MCP 服务器
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Python 3.x — 用于 Frida 和辅助脚本
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代码 AI 客户端 — Claude Code、Codex CLI、Cursor 等
然后按平台刷新工具索引:
| 平台 | 命令 |
|---|---|
| Windows | powershell -File skills/scripts/refresh-tool-index.ps1 |
| Linux / macOS | bash skills/scripts/refresh-tool-index.sh |
| Kali Linux | bash kali/scripts/refresh-tool-index.sh |
查看 skills/tool-index.md 以了解已检测到的工具。
特定平台文档:
| 场景 | 入口 |
|---|---|
| APK / Android 分析 | skills/apk-reverse/ |
| iOS / 移动端 | skills/mobile-reverse/ |
| 二进制逆向(exe/dll/so/elf) | skills/ida-reverse/ / skills/radare2/ |
| .NET / C# | skills/dotnet-reverse/ |
| 前端 JavaScript / 加密参数 | skills/js-reverse/ |
| DSL VM / 自定义 JavaScript 操作码 VM | skills/reverse-engineering/dsl-vm-reverse/ |
| HTTP 抓包 / 请求重放 | anything-analyzer + js-reverse/ |
| 恶意软件 / YARA | skills/malware-analysis/ |
| 渗透测试 / 扫描 | skills/pentest-tools/ |
| 攻击链 / 红队编排 | skills/attack-chain/ |
| CTF 竞赛 | CTF-Sandbox-Orchestrator/(40+ 子技能) |
| 固件 / IoT | skills/firmware-pentest/ |
| 补丁差异 / N-day | skills/patch-diff-exploit/ |
| Pwn / 漏洞利用开发 | skills/pwn-chain/ |
| EDR 绕过 | skills/edr-bypass-re/ |
| API / GraphQL | skills/api-security/ |
| 供应链 / SBOM | skills/supply-chain-security/ |
| LLM / AI 安全 | skills/llm-security/ |
| OLLVM 去混淆 | skills/reverse-engineering/references/ollvm-deobfuscation.md |
| 图表 / 报告 | skills/diagram-generator/ / skills/docs-generator/ |
.
├── README.md / README_zh.md / README_AI.md
├── RULES.md / RULES_zh.md
├── skills/
│ ├── MASTER-ROUTING.md / SKILL.md / routing.md
│ ├── ops/ # 运维契约
│ ├── scripts/ # master-route、case-init、bootstrap、verify
│ ├── field-journal/
│ ├── apk-reverse/ mobile-reverse/ js-reverse/ dotnet-reverse/
│ ├── ida-reverse/ radare2/ reverse-engineering/ malware-analysis/
│ ├── pentest-tools/ attack-chain/ pwn-chain/ firmware-pentest/
│ ├── api-security/ supply-chain-security/ llm-security/
│ └── ...
├── CTF-Sandbox-Orchestrator/
├── docs/
├── kali/ # 参见 kali/README-kali.md
└── work/ # 本地案例(已被 gitignore 忽略)
赞助商
如需赞助或进行商务咨询:
欢迎贡献!请 Fork 仓库,创建功能分支,然后提交 PR。
- Fork 项目
git checkout -b feature/AmazingFeaturegit commit -m 'Add some AmazingFeature'git push origin feature/AmazingFeature- 创建 Pull Request
本项目(reverse-skill)主要采用 MIT License 授权(参见 LICENSE)。
子模块及第三方依赖:
- CTF-Sandbox-Orchestrator/:GNU GPLv3
- Pentest Swarm AI:原项目采用 AGPL-3.0。本仓库仅通过 CLI 或 MCP 调用该项目,并不包含其源代码。
- 其他工具(jadx、frida、nmap、burpsuite-mcp 等)均受各自官方许可证约束。
感谢所有开源工具作者。本项目整合了逆向工程、渗透测试、CTF 和安全分析领域的工具——每个工具都是社区共同努力的成果。
特别感谢 OLLVM 去混淆生态系统的贡献者,以及所有提交测试样本、Issue 和 PR 的人。
English / 原文
Cybersecurity Skills Router · 逆向技能路由包
Navigate the dark waters, sail against the stream.
About · Getting Started · Usage · Fast route · Routing · Ops contracts · AI Bootstrap · Sponsors · Contributing
🌐 中文
If you are an AI Agent, jump toREADME_AI.md and follow the instructions strictly.
When an AI agent (Claude Code, Codex CLI, Cursor, etc.) encounters an APK, a binary, frontend JS encryption, a CTF challenge, or a pentesting target, this package routes it to the right methodology, checks available tools, and executes a repeatable workflow instead of guessing commands.
User task
→ RULES.md
→ MASTER-ROUTING / master-route.ps1 (PRIMARY)
→ case-init / scope.md (auth + network_profile; no target ACT until ready)
→ Scenario skill → tools / MCP / scripts
→ timeline + Evidence→Finding→Path → report + field-journal
Why this exists:
- AI agents don't know whether to use jadx, apktool, Frida, IDA, or BurpSuite for a given task
- APK, ELF, JS, PCAP, and CTF tasks each need different playbooks
- Tools, MCP servers, and scripts are scattered across machines
- The same mistakes get repeated because experience isn't reused
PRIMARY ladder: skills/MASTER-ROUTING.md · Full matrix: skills/routing.md · Ops: skills/ops/
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Java / JDK — for jadx and apktool
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Node.js 22.12+ — for JS toolchain and MCP servers
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Python 3.x — for Frida and helper scripts
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A code AI client — Claude Code, Codex CLI, Cursor, etc.
Then refresh the tool index per platform:
| Platform | Command |
|---|---|
| Windows | powershell -File skills/scripts/refresh-tool-index.ps1 |
| Linux / macOS | bash skills/scripts/refresh-tool-index.sh |
| Kali Linux | bash kali/scripts/refresh-tool-index.sh |
Check skills/tool-index.md to see detected tools.
Platform-specific docs:
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| Scenario | Entry |
|---|---|
| APK / Android analysis | skills/apk-reverse/ |
| iOS / mobile | skills/mobile-reverse/ |
| Binary reverse (exe/dll/so/elf) | skills/ida-reverse/ / skills/radare2/ |
| .NET / C# | skills/dotnet-reverse/ |
| Frontend JS / encrypted params | skills/js-reverse/ |
| DSL VM / custom JS opcode VM | skills/reverse-engineering/dsl-vm-reverse/ |
| HTTP capture / request replay | anything-analyzer + js-reverse/ |
| Malware / YARA | skills/malware-analysis/ |
| Penetration testing / scanning | skills/pentest-tools/ |
| Attack chain / red-team orchestration | skills/attack-chain/ |
| CTF competition | CTF-Sandbox-Orchestrator/ (40+ sub-skills) |
| Firmware / IoT | skills/firmware-pentest/ |
| Patch diff / N-day | skills/patch-diff-exploit/ |
| Pwn / exploit development | skills/pwn-chain/ |
| EDR bypass | skills/edr-bypass-re/ |
| API / GraphQL | skills/api-security/ |
| Supply chain / SBOM | skills/supply-chain-security/ |
| LLM / AI security | skills/llm-security/ |
| OLLVM deobfuscation | skills/reverse-engineering/references/ollvm-deobfuscation.md |
| Diagrams / reports | skills/diagram-generator/ / skills/docs-generator/ |
.
├── README.md / README_zh.md / README_AI.md
├── RULES.md / RULES_zh.md
├── skills/
│ ├── MASTER-ROUTING.md / SKILL.md / routing.md
│ ├── ops/ # ops contracts
│ ├── scripts/ # master-route, case-init, bootstrap, verify
│ ├── field-journal/
│ ├── apk-reverse/ mobile-reverse/ js-reverse/ dotnet-reverse/
│ ├── ida-reverse/ radare2/ reverse-engineering/ malware-analysis/
│ ├── pentest-tools/ attack-chain/ pwn-chain/ firmware-pentest/
│ ├── api-security/ supply-chain-security/ llm-security/
│ └── ...
├── CTF-Sandbox-Orchestrator/
├── docs/
├── kali/ # see kali/README-kali.md
└── work/ # local cases (gitignored)
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Sponsors
For sponsorship or business inquiries:
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Contributions are welcome! Fork the repo, create a feature branch, and open a PR.
- Fork the Project
git checkout -b feature/AmazingFeaturegit commit -m 'Add some AmazingFeature'git push origin feature/AmazingFeature- Open a Pull Request
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This project (reverse-skill) is primarily licensed under the MIT License (see LICENSE).
Submodule and third-party dependencies:
- CTF-Sandbox-Orchestrator/ : GNU GPLv3
- Pentest Swarm AI : Original project is AGPL-3.0. This repo only invokes it via CLI or MCP and does not include its source code
- Other tools (jadx, frida, nmap, burpsuite-mcp, etc.) are subject to their respective official licenses
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Thanks to all open-source tool authors. This project integrates tools across reverse engineering, penetration testing, CTF, and security analysis — every tool is the fruit of community effort.
Special thanks to the OLLVM deobfuscation ecosystem contributors and everyone who submitted test samples, issues, and PRs.
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