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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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.
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