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 · 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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Sponsors

AstraFlow	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.
	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.
	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.

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:

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

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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

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)

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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: ww7517437@gmail.com
• Issues: GitHub Issues

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.