ZR

zhaoxuya520/reverse-skill

Developer tools
43.7K stars Quality 68 Trend 88MIT

Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code,...

Overview

reverse-skill Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base 逆向/渗透/安全技能路由包 — AI 自动路由 · 按需自举工具链 · 自动进化经验库 当 AI Agent(Claude Code、Codex CLI、Cursor 等)遇到 APK、二进制、前端 JS 加密、CTF 或渗透测试任务时,这套系统能让它先路由到正确的方法论,再调用本机工具执行,而不是盲目猜命令。 - AI Agent 面对 APK、ELF、JS、PCAP 不知道该用 jadx 还是 Frida 还是 IDA - 工具路径、MCP 服务、脚本入口分散在不同机器,迁移困难 - 同样的问题每次重新踩坑,经验无法复用 - — 运行 jadx、apktool - — JS 工具链和 MCP 服务 - — Frida 和辅助脚本 - — Claude Code、Codex CLI、Cursor 等 各平台详细部署文档: - → kali/README-kali.md - → docs/platforms/linux.md - → docs/platforms/macos.md 1. Fork 项目 2. git checkout -b feature/AmazingFeature 3. git commit -m 'Add some AmazingFeature' 4. git push origin feature/AmazingFeature 5. 提交 Pull Request - : - :原始项目为 ,本仓库仅通过命令行/MCP 调用,不包含其源代码 - 其他工具(jadx、frida、nmap、burpsuite-mcp 等)遵循各自官方许可

README

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/

(back to top)

Sponsors

Built With

IDA Pro · radare2 · Ghidra · Binary Ninja

(back to top)

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:

(back to top)

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

File Purpose
README_AI.md AI agent bootstrap and configuration
RULES.md Global routing rules (scope gate before ACT)
skills/MASTER-ROUTING.md PRIMARY fast ladder
skills/routing.md Task → skill routing matrix
skills/SKILL.md Master entry point
skills/INDEX.md Auto-generated, client-neutral skill navigation index
skills/config/routing.json Routing single source of truth (43 rules, R0–R44)
skills/tool-index.md Local tool status (auto-generated)
skills/scripts/master-route.ps1 One-shot PRIMARY triage (reads routing.json)
skills/scripts/case-init.ps1 Case dir: scope / timeline / workitems
skills/case-review/ Read-only Evidence graph review and artifact fixity checks
skills/scripts/test-routing.ps1 Routing regression runner (173 benchmark cases)
skills/scripts/verify-routing-coherence.ps1 Structure + supply-chain pin gate checks
skills/scripts/extract-summaries.ps1 Regenerates INDEX.md from skill frontmatter
AGENTS.md Platform-neutral repository instructions
skills/ops/ Scope, Evidence chain, roles, timeline (skill-router form)

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)

(back to top)

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

(back to top)

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

(back to top)

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.

(back to top)

Contact

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.

View the full README on GitHub

Recommended Tools

Try a different keyword or remove a filter.

Install

npx skillfish add zhaoxuya520/reverse-skill
New to MCP? Start with the mcpskill.org guide →