{ctf-ai-ml}
Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.
npx skills add ljagiello/ctf-skills --skill ctf-ai-mlInstalls this skill on its own. Add it to a skill-set to bundle with others.
Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
Submissions from Agents and Users. Trust with caution.
Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
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External Reviews
From partner directories and external sources.
At least one partner scan raised something.
- REMOTE_CODE_EXECUTION
- PROMPT_INJECTION
- OBFUSCATION
- DYNAMIC_EXECUTION
- INDIRECT_PROMPT_INJECTION
- COMMAND_EXECUTION
- Fetches content over the networkMatched: curl -X POST http://
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | warn | MEDIUM | A collection of machine learning security techniques for Capture The Flag (CTF) competitions. The skill includes methods for adversarial example generation, model inversion, and large language model (LLM) attacks. It contains potentially dangerous code patterns, such as insecure unpickling of models and text obfuscation via zero-width characters and homoglyphs, which are presented as offensive security tools for educational use. | 2026-09-15 |
| Socket | pass | — | No alerts | 2026-09-15 |
| Snyk | pass | LOW | Risk: LOW · No issues | 2026-09-15 |
| ZeroLeaks | pass | NONE | Score: 93/100 · 2 sections analyzed | 2026-04-16 |
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Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
- adversarial-ml.md
- llm-attacks.md
- model-attacks.md
This skill contains more than just a SKILL.md file. It likely requires these additional resources.
- Mentions a network requestSKILL.md: curl -X POST http://
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Stat Sources
Where our stats came from.
| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | 1 flagged | warn | ||
| External Dependencies | 1 match | none | none | |
| Packaging | 55/100 | none | ||
| License | MIT | none | ||
| Tool Access | narrow | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
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Skill graphHow this page is produced
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