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skill

ctf-ai-ml Review findings

ljagielloljagiello/ctf-skillsupdated

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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.
ljagiello's own description, from the skill's files.
Data & analyticsSecurityAI & agentsskill
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3,615
Version
v1
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0
OverviewSecurity2Versions1

Overview

holdReview findings

Waxell's checks found 2 findings to review, highest severity high.

Highest severity
high
Findings
2
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 2 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (2)

high · 1

  • high

    Tells Claude to install unpinned packages (torch, transformers, numpy, scipy, Pillow, safetensors …)

    SKILL.md:20 · skill_risk:S2

medium · 1

  • medium

    Tells Claude to install packages (foolbox==2.4.0, keras==2.3.1, tensorflow==1.15)

    adversarial-ml.md:563 · skill_risk:S3

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1, seen 2026-11-03.

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