Navigate the dark waters, sail against the stream.
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🌐 中文 · Project website · Online tutorial
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
| Routing rules | Regression benchmark | Core skill modules | CI platforms | Client model |
|---|---|---|---|---|
| 41 (R0–R40) | 163 cases | 42 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/
IDA Pro · radare2 · Ghidra
- 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
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
| 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, 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/ |
| 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 (41 rules, R0–R40) |
| 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 (163 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) |
# 1. Routing regression — 163 (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 -CheckGitHub Actions CI runs all of the above on Windows + Ubuntu for every push/PR.
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.
.
├── 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)
|
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. |
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
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
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.
- Email: ww7517437@gmail.com
- QQ Group: 942400892
- Discord: reverse-skill community
- Issues: GitHub Issues