Search

PythonReactSEOPDF
GitHub Skill

llm-security

LLM and AI application security testing skill for prompt injection, jailbreaking, and AI system vulnerabilities. This skill should be used when testing AI/ML applications for security issues, performing prompt injection attacks, testing LLM guardrails, analyzing AI system architectures for vulnerabilities, or assessing RAG pipeline security. Triggers on requests to test LLM security, perform prompt injection, jailbreak AI systems, test AI guardrails, or audit AI application security.

hardw00t☆ 26 Repository stars9 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

LLM and AI application security testing skill for prompt injection, jailbreaking, and AI system vulnerabilities. This skill should be used when testing AI/ML applications for security issues, performing prompt injection attacks, testing LLM guardrails, analyzing AI system architectures for vulnerabilities, or assessing RAG pipeline security. Triggers on requests to test LLM security, perform prompt injection, jailbreak AI systems, test AI guardrails, or audit AI application security.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-02-10
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!