有人把逆向经验总结成skill

涵盖前端，后端和硬件。

有人试过了吗？😂

https://t.co/DEFG7R97Za

zhaoxuya520/reverse-skill

Source: https://github.com/zhaoxuya520/reverse-skill

reverse-skill

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

About

If you are an AI Agent, jump to README_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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Built With

IDA Pro · radare2 · Ghidra

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Getting Started

Prerequisites

• Java / JDK — for jadx and apktool
• Node.js 22.12+ — for JS toolchain and MCP servers
• Python 3.x — for Frida and helper scripts
• A code AI client — Claude Code, Codex CLI, Cursor, etc.

Installation

git clone https://github.com/zhaoxuya520/reverse-skill.git

Then refresh the tool index per platform:

Check skills/tool-index.md to see detected tools.

Platform-specific docs:

• Kali Linux → kali/README-kali.md
• Ubuntu/Debian → docs/platforms/linux.md
• macOS → docs/platforms/macos.md

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Usage

Supported scenarios

Key files

Repository layout

.
├── 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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Contributing

Contributions are welcome! Fork the repo, create a feature branch, and open a PR.

1. Fork the Project
2. git checkout -b feature/AmazingFeature
3. git commit -m 'Add some AmazingFeature'
4. git push origin feature/AmazingFeature
5. Open a Pull Request

Contributors

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License

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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Acknowledgments

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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Contact

• Email: [email protected]
• QQ Group: 942400892
• Discord: reverse-skill