🤖
AI EngineeringJavaScript

CTF AI/ML Attack Hub

by asdfgh1445

CTF AI/ML Attack Hub is an AI Engineering skill for Claude Code, published by asdfgh1445 in ctf-super-hub.

764 stars96 forkson asdfgh1445/ctf-super-hubAdded 2026/08/23+1% in starsRepository updated 2026/04/23
View source on GitHubDownload repo ZIP
agent-skillsai-agentscodexcryptographyctfctf-toolsforensicsosintpwnreverse-engineeringweb-security
Install in seconds
Install CTF AI/ML Attack Hub
Copy CTF AI/ML Attack Hub into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/asdfgh1445/ctf-super-hub/tree/main/ctf-ai-ml ~/.claude/skills/ctf-ai-ml

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asdfgh1445/ctf-super-hub.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
ctf-ai-ml/SKILL.md in asdfgh1445/ctf-super-hub
Installs to
~/.claude/skills/ctf-ai-ml
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering — 2451 skills

What CTF AI/ML Attack Hub does

CTF AI/ML Attack Hub collects techniques for adversarial examples, model extraction, prompt injection, membership inference, poisoning, LoRA abuse, and LLM jailbreaking. Use it when a challenge involves attacking or analyzing an AI or ML system.

CTF AI/ML Attack Hub is cataloged under AI Engineering on DirSkills. CTF AI/ML Attack Hub comes from a repository tagged agent-skills, ai-agents, codex, cryptography and ctf.

Documentation

README

CTF AI/ML

Quick reference for AI/ML CTF challenges. Each technique has a one-liner here; see supporting files for full details.

Prerequisites

Python packages (all platforms):

pip install torch transformers numpy scipy Pillow safetensors scikit-learn

Linux (apt):

apt install python3-dev

macOS (Homebrew):

brew install python@3

Additional Resources

This is the opening of the README. Read the full README on GitHub.

Commands CTF AI/ML Attack Hub provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /ctf-crypto
  • /ctf-reverse
  • /ctf-misc

Frequently asked about CTF AI/ML Attack Hub

  • What else does asdfgh1445 publish alongside CTF AI/ML Attack Hub?

    CTF AI/ML Attack Hub is one of 25 skills that DirSkills catalogs from asdfgh1445/ctf-super-hub, the repository it ships in. Its siblings there include CTF Binary Exploitation, CTF Challenge Triage and CTF Cryptography. Each one is a separate skill with its own page in this directory, installs the same way CTF AI/ML Attack Hub does, and is maintained by asdfgh1445 in that same repository. The rest of the collection is listed on the asdfgh1445/ctf-super-hub page.

  • How does CTF AI/ML Attack Hub compare to other AI Engineering skills?

    CTF AI/ML Attack Hub ranks #1658 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of CTF AI/ML Attack Hub against them. Open each page to compare what they document and how they install.

More from asdfgh1445/ctf-super-hub

CTF AI/ML Attack Hub is one of 25 skills cataloged on DirSkills from asdfgh1445/ctf-super-hub.

See all 25 skills →
💥
1w ago

CTF Binary Exploitation

CTF Binary Exploitation covers buffer overflows, format strings, heap exploitation, ROP, ret2libc, shellcode, seccomp bypass, and sandbox escape for pwn-style CTF challenges. Use it when solving binary exploitation tasks.
Quality
76496
🏁
1w ago

CTF Challenge Triage

CTF Challenge Triage classifies a CTF challenge, performs light initial triage, and routes it to the appropriate ctf-* skill. It can also act as the entry point when the category is already clear.
AI Engineering
76496
🔐
1w ago

CTF Cryptography

CTF Cryptography provides quick references for cryptography and math-based CTF challenges, including RSA, AES, ECC, lattices, PRNGs, ZKP, and related attack patterns. Use it when solving crypto puzzles or checking which technique applies.
Quality
76496
🕵️
1w ago

CTF Forensics

CTF Forensics covers disk images, memory dumps, logs, PCAPs, steganography, registry artifacts, audio signals, Docker images, coredumps, and deleted-file recovery for forensic CTF challenges. Use it when a puzzle requires extracting or reconstructing evidence from system and network artifacts.
Quality
76496
🧪
1w ago

CTF Malware Analysis

CTF Malware Analysis helps analyze malicious-script, PE/.NET, shellcode, and C2 traffic challenges in CTFs. Use it when you need to deobfuscate payloads, extract configs, decode protocols, or spot anti-analysis tricks.
Quality
76496
🧩
1w ago

CTF Misc

CTF Misc covers cross-category CTF problems such as encoding, pyjail/bash jail escapes, RF/SDR, DNS quirks, QR/audio puzzles, constraint solving, and sandbox escape. Use it when a challenge spans multiple niche techniques or does not fit a single CTF specialty.
Quality
76496

More AI Engineering skills

CTF AI/ML Attack Hub is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1658 by stars among them.

Browse all AI Engineering skills →
📐
3w ago

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.
AI Engineering
239.8K36.4K
🤖
3w ago

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.
AI Engineering
239.8K36.4K
🤖
3w ago

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.
AI Engineering
239.8K36.4K