Agent skill · security · aradotso
awesome-ai-security-reference
Navigate AI security resources, learning paths, and tools from the Awesome AI Security curated list
Why this skill is useful
Provides a curated list of AI security resources and tools that the AI would not reliably generate on its own.
What it needs
Requires git, pip installed locally. About 6k tokens when loaded. Last updated 2026-08-04. 11 stars on the source repository.
What this skill does
Awesome AI Security Reference Skill by ara.so — Security Skills collection. This skill helps you navigate the Awesome AI Security learning journey, a curated collection of resources covering ML security fundamentals, attack vectors (prompt injection, adversarial examples, poisoning, privacy attacks), defensive tools, and AI-powered penetration testing. What This Project Provides Awesome AI Security is a comprehensive, annotated roadmap covering: ML Foundations: Essential courses and books (Stanford CS229, fast.ai, Deep Learning Specialization) Deep Learning: Neural networks, transformers, and modern architectures Prompt Injection: Attacks manipulating LLM behavior and defenses Adversarial Attacks: Methods to fool neural networks with crafted inputs Poisoning & Backdoors: Data poisoning and neural network backdoors Privacy & Extraction: Membership inference, model extraction, data leakage Tools & Frameworks: Security testing tools (Garak, Rebuff, Counterfit, NeMo Guardrails) AI Pentesting: Using AI agents for automated security assessments Vulnerability Detection: AI-powered code analysis and bug detection Installation This is a reference repository — clone it to browse locally or use the interactive roadmap: View the interactive roadmap at: https://floatingpragma.io/awesome-ai-security Key Resource Categories Learning Paths ML Foundations (Start Here) Stanford CS229: https://cs229.stanford.edu/ fast.ai Practical Deep Learning: https://course.fast.ai/ Deep Learning Specialization: https://www.coursera.org/specializations/deep-learning Deep Learning Theory Dive into Deep Learning (interactive): https://d2l.ai/ Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/ Deep Learning Book (Goodfellow): https://www.deeplearningbook.org/ Attack Vectors Prompt Injection Key Resources: OWASP LLM01:2025 Prompt Injection: https://genai.owasp.org/llmrisk/llm01-prompt-injection/ Lakera Guide: https://www.lakera.ai/blog/guide-to-prompt-injection Detection/Defen …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/awesome-ai-security-reference