reverse-skill
Cybersecurity Skills Router · 逆向技能路由包
Navigate the dark waters, sail against the stream.
About ·
Getting Started ·
Usage ·
Tutorial ·
Fast route ·
Routing ·
Ops contracts ·
AI Bootstrap ·
Sponsors ·
Contributing
🌐 中文 ·
Project website ·
Online tutorial
About
If you are an AI Agent, jump to README_AI.md and follow the instructions strictly.
When an AI agent (Claude Code, Codex, Cursor, OpenCode, or another compatible client) 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
Current status
| Routing rules |
Regression benchmark |
Core skill modules |
CI platforms |
Client model |
| 44 (R0–R45) |
175 cases |
45 tracked modules |
Windows + Ubuntu |
Client-neutral |
The routing core is driven by one structured configuration, validated by cross-platform CI, and kept separate from optional client adapters.
PRIMARY ladder: skills/MASTER-ROUTING.md · Full matrix: skills/routing.md · Ops: skills/ops/
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AstraFlow
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UCloud AstraFlow provides one-click access to 200+ leading open-source models, including Kimi K3, DeepSeek V4/V3, Qwen 3, GLM 5.2, and HappyHorse—no model training required, ready to use out of the box.
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Atlas Cloud is a full-modal AI inference platform that provides unified API access to 400+ curated image, video, audio, 3D, and language models. Atlas Cloud supports reverse-skill with model services for cross-platform routing verification, documentation, and open security workflows.
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Kite AI builds identity and payment infrastructure for the agent economy. Its support helps sustain reverse-skill's open-source maintenance, routing benchmarks, and platform-neutral security workflows.
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Built With
IDA Pro · radare2 · Ghidra · Binary Ninja
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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, Cursor, OpenCode, or another compatible client
Installation
git clone https://github.com/zhaoxuya520/reverse-skill.git
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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Usage
Supported scenarios
| Scenario |
Entry |
| APK / Android analysis |
skills/apk-reverse/ |
| iOS / mobile |
skills/mobile-reverse/ |
| Binary reverse (exe/dll/so/elf) |
skills/ida-reverse/ / skills/radare2/ |
| Binary Ninja / HLIL / MLIL / MCP |
skills/binary-ninja-reverse/ |
| .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, Reqable MCP + js-reverse/ |
| Malware / YARA |
skills/malware-analysis/ |
| Penetration testing / scanning |
skills/pentest-tools/ |
| Attack chain / red-team orchestration |
skills/attack-chain/ |
| Case evidence review / report handoff |
skills/case-review/ |
| CTF competition |
CTF-Sandbox-Orchestrator/ (42 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/ |
Key files
Testing (run after any routing/config change)
# 1. Routing regression — 173 (hint → expected PRIMARY) cases, fails CI on any mismatch
powershell -NoProfile -ExecutionPolicy Bypass -File skills/scripts/test-routing.ps1
# 2. Structure coherence + supply-chain pin gate (unpinned auto-install fails)
powershell -NoProfile -ExecutionPolicy Bypass -File skills/scripts/verify-routing-coherence.ps1
# 3. Smoke: verify + script parse + quick route matrix
powershell -NoProfile -ExecutionPolicy Bypass -File skills/scripts/smoke.ps1
# 4. INDEX.md drift check (regenerate with extract-summaries.ps1 if dirty)
powershell -NoProfile -ExecutionPolicy Bypass -File skills/scripts/extract-summaries.ps1 -Check
GitHub Actions CI runs all of the above on Windows + Ubuntu for every push/PR.
Client-neutral integration
The routing core, regression suite, manifests, and case workflow do not depend on a specific AI client. Claude Code, Codex, Cursor, OpenCode, and other clients should load the repository through their own adapter or project-instruction mechanism. Client-specific configuration must remain optional and outside the core routing contract.
For Codex, the repository also exposes an optional adapter plugin at plugins/reverse-skill/. It delegates to the repository's existing routing core and does not register external MCP servers automatically.
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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Contributing
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
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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Disclaimer
This project is intended solely for lawful security research, education, CTF competitions, and testing of systems that you own or have explicit authorization to assess.
Unauthorized access, scanning, exploitation, disruption, data acquisition, or any other use against systems without prior permission is strictly prohibited. Users are solely responsible for complying with applicable laws, regulations, and the authorized scope of testing. The maintainers accept no liability for misuse of this project or for any resulting damage or legal consequences
Installation and download security
See Security Policy, Installation and Download Security Guidance, and the 2026-09-03 repository security review.
Community quick start and issue triage
See Quick Start and Community Issue Triage for installation, client integration, and how community issues are classified. Installation/archive security details remain in Installation and Download Security Guidance.
这是一个技能包，它会为 AI 编程助手指明针对特定任务（APK、二进制文件、JS、CTF、恶意软件等）应采用的逆向工程、渗透测试和安全研究方法，检查哪些工具已安装，并按可重复的流程执行，而不是让助手自己猜测命令。