Agent skill

CTF•逆向工程

用于二进制、APK、WASM、固件、自定义虚拟机、字节码、游戏客户端、类恶意加载器以及反调试/反分析逻辑等逆向类 CTF 题;触发名:ctf-reverse

asdfgh1445582★ · 1 repos on radarProfile →
codexclaude-codecan modify filesNOASSERTION
Install
npx skills add asdfgh1445/ctf-super-hub --skill ctf-reverse --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 19
SKILL.md size: 12 KB
Bundled scripts: none
Allowed tools: BashReadWriteEditGlobGrepTaskWebFetchWebSearch
Requires: Requires filesystem-based agent (Claude Code or similar) with bash, Python 3, and internet access for tool installation.
Path: ctf-reverse/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 718
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# CTF Reverse Engineering Quick reference for RE challenges. For detailed techniques, see supporting files. ## Prerequisites **Python packages (all platforms):** ```bash pip install frida-tools angr qiling uncompyle6 capstone lief z3-solver # For Python 3.9+ bytecode: build pycdc from source git clone https://github.com/zrax/pycdc && cd pycdc && cmake . && make ``` **Linux (apt):** ```bash apt install gdb radare2 binutils strace ltrace apktool upx ``` **macOS (Homebrew):** ```bash brew install gdb radare2 binutils apktool upx ghidra ``` **radare2 plugins:** ```bash r2pm -ci r2ghidra # Native Ghidra decompiler for radare2 ``` **Manual install:** - pwndbg — Linux: [GitHub](https://github.com/pwndbg/pwndbg), macOS: `brew install pwndbg/tap/pwndbg-gdb` ## Additional Resources - [tools.md](tools.md) - Static analysis tools (GDB, Ghidra, radare2, IDA, Binary Ninja, dogbolt.org, RISC-V with Capstone, Unicorn emulation, Python bytecode, WASM, Android APK, .NET, packed binaries) - [tools-dynamic.md](tools-dynamic.md) - Dynamic analysis tools: Frida (hooking, anti-debug bypass, memory scanning, Android/iOS), angr symbolic execution (path exploration, constraints, CFG), lldb (macOS/LLVM debug

What's inside
Steps it walks through
  1. Prerequisites
  2. Additional Resources
  3. When to Pivot
  4. Problem-Solving Workflow
  5. Quick Wins (Try First!)
  6. Initial Analysis
  7. Memory Dumping Strategy
  8. Decoy Flag Detection
  9. GDB PIE Debugging
  10. Comparison Direction (Critical!)
  11. Common Encryption Patterns
  12. Quick Tool Reference
  13. Deep-Dive Notes
Ships with 18 files
  • anti-analysis-ctf.md
  • anti-analysis.md
  • field-notes.md
  • languages-compiled.md
  • languages-platforms.md
  • languages.md
  • patterns-ctf-2.md
  • patterns-ctf-3.md
  • patterns-ctf.md
  • patterns-runtime.md
  • patterns.md
  • platforms-hardware.md
  • platforms.md
  • tools-advanced-2.md
  • tools-advanced.md
  • tools-dynamic.md
  • tools-emulation.md
  • tools.md
Commands it runs
pip install frida-tools angr qiling uncompyle6 capstone lief z3-solver
For Python 3.9+ bytecode: build pycdc from source
git clone https://github.com/zrax/pycdc && cd pycdc && cmake . && make
apt install gdb radare2 binutils strace ltrace apktool upx
brew install gdb radare2 binutils apktool upx ghidra
r2pm -ci r2ghidra   # Native Ghidra decompiler for radare2
Plaintext flag extraction
strings binary | grep -E "flag\{|CTF\{|pico"
strings binary | grep -iE "flag|secret|password"
rabin2 -z binary | grep -i "flag"
More from ctf-super-hub
All skills →
About this skill
What does the CTF•逆向工程 skill do?

用于二进制、APK、WASM、固件、自定义虚拟机、字节码、游戏客户端、类恶意加载器以及反调试/反分析逻辑等逆向类 CTF 题;触发名:ctf-reverse

How do I install it?

Run `npx skills add asdfgh1445/ctf-super-hub --skill ctf-reverse --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From asdfgh1445/ctf-super-hub, a repository with 718 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going