zhaoxuya520/reverse-skillPublic

Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 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 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端

AI summary: A comprehensive cybersecurity skill routing package that provides structured playbooks and toolchains for AI coding agents.

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PowerShellMITCreated May 13, 2026Last push 1d agoLatest release v1.0.0+10.1K stars this week+11.2K this month

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20.4K stars as of Aug 7, 2026, tracked back to May 24, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

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Signals and awards

derived from tracked data
  • Widely adopted

    20,389 stars

  • Breakout launch

    20,389 stars in 86 days

  • Rising fast

    +10,116 stars this week

  • Actively maintained

    Pushed within 48 hours

  • Permissive license

    MIT

  • Continuous integration

    Automated checks passing

  • Repeat trending

    11 trending appearances

What reverse-skill does

Reverse-skill acts as an operational knowledge base and tool router for AI agents like Claude Code, Cursor, and Codex CLI. When an AI agent encounters a cybersecurity task—such as reverse engineering an APK, analyzing malware, competing in a CTF, or bypassing frontend JavaScript encryption—it provides strict routing rules and scenario-specific playbooks. Instead of letting the AI guess commands, it forces the agent to read operational contracts, check local tool availability (e.g., IDA, Frida, apktool), and execute repeatable, structured workflows. It maintains an evolving field journal to reuse experience across sessions.

This repository is built for penetration testers, reverse engineers, and security researchers who want to augment their workflows using autonomous AI agents guided by strict, professional methodologies.

  • AI playbook routing: Intercepts AI agent workflows to enforce strict methodologies for over 20 cybersecurity scenarios including mobile, binary, and web analysis.
  • Toolchain bootstrapping: Automatically detects local security tools (like Java, Node.js, Python, and Frida) and generates an index so the AI knows what is available.
  • Evidence chain enforcement: Requires agents to log findings into a structured timeline and field journal before executing commands, preventing random hacking attempts.
  • Self-evolving knowledge base: Maintains local case directories and experience logs so the AI doesn't repeat the same mistakes across different sessions.
  • Multi-platform support: Includes specific configuration scripts and docs for running seamlessly on Kali Linux, standard Debian/Ubuntu, macOS, and Windows.

Where teams use it

Automated malware analysis

Security researchers point their AI agent at a suspicious binary, and the router automatically selects the IDA/radare2 playbook to extract YARA rules.

Mobile app reverse engineering

Penetration testers use the APK skill route to automatically unpack an Android application, run jadx, and hook TLS encryption via Frida.

CTF competition orchestration

Capture The Flag competitors deploy the sandbox orchestrator to let the AI systematically solve cryptography and binary exploitation challenges.

Frontend encryption bypass

Web scrapers use the JS reverse playbook to automatically analyze and deobfuscate custom Webpack bundles or DSL virtual machines.

Getting started: git clone https://github.com/zhaoxuya520/reverse-skill.git powershell -File skills/scripts/refresh-tool-index.ps1

README

main branch

reverse-skill

reverse-skill

Cybersecurity Skills Router · 逆向技能路由包

Navigate the dark waters, sail against the stream.

release stars forks issues license changelog

zhaoxuya520%2Freverse-skill | Trendshift


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:

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/
.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 + js-reverse/
Malware / YARA skills/malware-analysis/
Penetration testing / scanning skills/pentest-tools/
Attack chain / red-team orchestration skills/attack-chain/
CTF competition CTF-Sandbox-Orchestrator/ (40+ 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/tool-index.md Local tool status (auto-generated)
skills/scripts/master-route.ps1 One-shot PRIMARY triage
skills/scripts/case-init.ps1 Case dir: scope / timeline / workitems
skills/ops/ Scope, Evidence chain, roles, timeline (skill-router form)

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:

Email us — 24781737@qq.com

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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

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

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Recent activity

commits and pull requests

Recent open issues

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Releases and announcements

1 total
  1. # reverse-skill v1.0.0 **First formal release** — 2026-07-18 AI-powered skill router for authorized reverse engineering, penetration testing, and security research. ## Highlights | Area | What you get | |------|----------------| | **PRIMARY path** | `MASTER-ROUTING.md` + `master-route.ps1` → correct skill in one hop | | **Ops contracts** | Scope / auth gate, Evidence→Finding→Path, roles, timeline | | **Case tooling** | `case-init` · `case-guard` · `append-evidence` · `smoke` · `verify-routing-coherence` | | **Skill matrix** | 20+ modules (APK, IDA, r2, JS, .NET, pwn, firmware, pentest, LLM, …) | | **Bootstrap** | On-demand toolchain install from `bootstrap-manifest.json` | | **Knowledge loop** | `field-journal` + docs-generator completion checklist | | **Platforms** | Windows primary; Linux / macOS / Kali supported paths | ## Install (quick) ```bash git clone https://github.com/zhaoxuya520/reverse-skill.git cd reverse-skill # Windows powershell -NoProfile -ExecutionPolicy Bypass -File skills/scripts/refresh-tool-index.ps1 # Linux / macOS bash skills/scripts/refresh-tool-index.sh ``` Point your AI client at `RULES.md` / `README_AI.md`. See [README.md](../README.md). ## Verif

Code frequency

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83 commits in the last 52 weeks.

When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 3 commitsSun 1:00 — 6 commitsSun 2:00 — 0 commitsSun 3:00 — 0 commitsSun 4:00 — 0 commitsSun 5:00 — 0 commitsSun 6:00 — 0 commitsSun 7:00 — 0 commitsSun 8:00 — 0 commitsSun 9:00 — 0 commitsSun 10:00 — 0 commitsSun 11:00 — 0 commitsSun 12:00 — 0 commitsSun 13:00 — 0 commitsSun 14:00 — 2 commitsSun 15:00 — 0 commitsSun 16:00 — 0 commitsSun 17:00 — 2 commitsSun 18:00 — 0 commitsSun 19:00 — 2 commitsSun 20:00 — 0 commitsSun 21:00 — 0 commitsSun 22:00 — 0 commitsSun 23:00 — 0 commitsMon 0:00 — 0 commitsMon 1:00 — 0 commitsMon 2:00 — 0 commitsMon 3:00 — 0 commitsMon 4:00 — 0 commitsMon 5:00 — 0 commitsMon 6:00 — 0 commitsMon 7:00 — 0 commitsMon 8:00 — 0 commitsMon 9:00 — 0 commitsMon 10:00 — 0 commitsMon 11:00 — 0 commitsMon 12:00 — 2 commitsMon 13:00 — 1 commitsMon 14:00 — 0 commitsMon 15:00 — 1 commitsMon 16:00 — 0 commitsMon 17:00 — 0 commitsMon 18:00 — 0 commitsMon 19:00 — 1 commitsMon 20:00 — 3 commitsMon 21:00 — 2 commitsMon 22:00 — 1 commitsMon 23:00 — 3 commitsTue 0:00 — 2 commitsTue 1:00 — 0 commitsTue 2:00 — 0 commitsTue 3:00 — 2 commitsTue 4:00 — 0 commitsTue 5:00 — 0 commitsTue 6:00 — 0 commitsTue 7:00 — 0 commitsTue 8:00 — 0 commitsTue 9:00 — 0 commitsTue 10:00 — 0 commitsTue 11:00 — 0 commitsTue 12:00 — 1 commitsTue 13:00 — 12 commitsTue 14:00 — 1 commitsTue 15:00 — 0 commitsTue 16:00 — 0 commitsTue 17:00 — 0 commitsTue 18:00 — 0 commitsTue 19:00 — 0 commitsTue 20:00 — 0 commitsTue 21:00 — 0 commitsTue 22:00 — 0 commitsTue 23:00 — 0 commitsWed 0:00 — 0 commitsWed 1:00 — 0 commitsWed 2:00 — 0 commitsWed 3:00 — 0 commitsWed 4:00 — 0 commitsWed 5:00 — 0 commitsWed 6:00 — 0 commitsWed 7:00 — 0 commitsWed 8:00 — 1 commitsWed 9:00 — 0 commitsWed 10:00 — 0 commitsWed 11:00 — 0 commitsWed 12:00 — 0 commitsWed 13:00 — 0 commitsWed 14:00 — 0 commitsWed 15:00 — 0 commitsWed 16:00 — 0 commitsWed 17:00 — 0 commitsWed 18:00 — 0 commitsWed 19:00 — 0 commitsWed 20:00 — 0 commitsWed 21:00 — 0 commitsWed 22:00 — 0 commitsWed 23:00 — 0 commitsThu 0:00 — 0 commitsThu 1:00 — 0 commitsThu 2:00 — 0 commitsThu 3:00 — 0 commitsThu 4:00 — 0 commitsThu 5:00 — 0 commitsThu 6:00 — 2 commitsThu 7:00 — 2 commitsThu 8:00 — 0 commitsThu 9:00 — 0 commitsThu 10:00 — 0 commitsThu 11:00 — 0 commitsThu 12:00 — 0 commitsThu 13:00 — 0 commitsThu 14:00 — 0 commitsThu 15:00 — 0 commitsThu 16:00 — 1 commitsThu 17:00 — 0 commitsThu 18:00 — 0 commitsThu 19:00 — 0 commitsThu 20:00 — 1 commitsThu 21:00 — 0 commitsThu 22:00 — 2 commitsThu 23:00 — 0 commitsFri 0:00 — 1 commitsFri 1:00 — 0 commitsFri 2:00 — 0 commitsFri 3:00 — 0 commitsFri 4:00 — 0 commitsFri 5:00 — 0 commitsFri 6:00 — 0 commitsFri 7:00 — 0 commitsFri 8:00 — 0 commitsFri 9:00 — 1 commitsFri 10:00 — 0 commitsFri 11:00 — 3 commitsFri 12:00 — 0 commitsFri 13:00 — 0 commitsFri 14:00 — 0 commitsFri 15:00 — 0 commitsFri 16:00 — 1 commitsFri 17:00 — 2 commitsFri 18:00 — 2 commitsFri 19:00 — 0 commitsFri 20:00 — 0 commitsFri 21:00 — 0 commitsFri 22:00 — 0 commitsFri 23:00 — 0 commitsSat 0:00 — 3 commitsSat 1:00 — 8 commitsSat 2:00 — 7 commitsSat 3:00 — 0 commitsSat 4:00 — 0 commitsSat 5:00 — 0 commitsSat 6:00 — 0 commitsSat 7:00 — 0 commitsSat 8:00 — 0 commitsSat 9:00 — 0 commitsSat 10:00 — 0 commitsSat 11:00 — 0 commitsSat 12:00 — 0 commitsSat 13:00 — 0 commitsSat 14:00 — 0 commitsSat 15:00 — 0 commitsSat 16:00 — 0 commitsSat 17:00 — 0 commitsSat 18:00 — 0 commitsSat 19:00 — 0 commitsSat 20:00 — 0 commitsSat 21:00 — 0 commitsSat 22:00 — 0 commitsSat 23:00 — 0 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits21 (22%)
Community commits73 (78%)

94 commits in total over the last year.

DateListRankStars gained
Aug 7, 2026weekly#1+10,091
Aug 6, 2026daily#2+2,297
Aug 6, 2026weekly#1+9,904
Aug 5, 2026daily#2+2,297
Aug 4, 2026daily#1+2,446
Aug 3, 2026daily#4+1,141
Aug 2, 2026daily#3+1,320
Aug 1, 2026daily#1+335
Jun 25, 2026daily#5+34
Jun 24, 2026daily#14+18
Jun 23, 2026daily#9+10
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