CTF•AI/ML 攻防
用于对抗样本、模型提取、提示注入、成员推断、训练投毒、LoRA 滥用、LLM 越狱等 AI/ML 相关 CTF 题;触发名:ctf-ai-ml
Profile →npx skills add asdfgh1445/ctf-super-hub --skill ctf-ai-ml --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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):** ```bash pip install torch transformers numpy scipy Pillow safetensors scikit-learn ``` **Linux (apt):** ```bash apt install python3-dev ``` **macOS (Homebrew):** ```bash brew install python@3 ``` ## Additional Resour
What does the CTF•AI/ML 攻防 skill do?
用于对抗样本、模型提取、提示注入、成员推断、训练投毒、LoRA 滥用、LLM 越狱等 AI/ML 相关 CTF 题;触发名:ctf-ai-ml
How do I install it?
Run `npx skills add asdfgh1445/ctf-super-hub --skill ctf-ai-ml --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.