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Skills/Security
hypnguyen1209 avatar

Ai Security

hypnguyen1209/offensive-claude

This goes after the LLM attack surface with practical payloads and detection patterns.

GitHub stars
280
last updated
May 28, 2026
View on GitHubSave

Install

$ npx -y skills add hypnguyen1209/offensive-claude --skill ai-security --agent claude-code

Installs into .claude/skills of the current project.

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What it does

You get direct injection techniques, jailbreak methods, RAG pipeline poisoning, and model extraction testing vectors. It covers the full AI supply chain from malicious pickle files in HuggingFace models to LangChain template injection. The tool calling exploitation section is especially useful if you're assessing agentic systems where one compromised agent can poison others downstream. Includes YARA rules for prompt injection detection and concrete examples of adversarial input crafting. This is offensive work, so you're actively trying to break guardrails and extract training data. Good for red team engagements against AI products or validating your own LLM application defenses before someone else finds the holes.

Files

Select a file.

Details

Repository
github.com/hypnguyen1209/offensive-claude
Categories
Security, AI & Agent Building, Data Science & ML
License
MIT
First seen
Jun 11, 2026

More from hypnguyen1209/offensive-claude

All 25
  • Cloud Security
  • Coding Mastery
  • Crypto Analysis
  • Edr Evasion
  • Exploit Development
  • Incident Response
  • Initial Access
  • Keylogger Arch
  • Malware Analysis
  • Mobile Pentest
  • Network Attack
  • Privesc Linux
  • Privesc Windows
  • Recon Osint
  • Red Team Ops
  • Reverse Engineering
  • Shellcode Dev
  • Threat Hunting
  • Vulnerability Analysis
  • Web Pentest
  • Windows Boundaries
  • Windows Mitigations
  • Active Directory Attack
  • Advanced Redteam

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