
from agentic-skills10
Audits LLM-powered features against the OWASP Top 10 for LLM Applications to identify and mitigate prompt injection and data leakage risks.
This skill transforms an LLM-powered feature into a formal attack surface for a rigorous security audit. It ensures that features utilizing Large Language Models are not just "vibe-checked" but are systematically validated against industry-standard vulnerabilities.
Use this skill whenever a product surface introduces an LLM call, retrieval-augmented generation (RAG), fine-tuning, embedding stores, or any model-routed automation. It is critical during the design and release-gate phases of AI feature development.
owasp-llm-top10.md containing category checklists and abuse-case patterns.Designed for high-reasoning agents capable of security analysis and tool-use (e.g., Claude Code, Codex, or custom security-focused agents).
This skill has not been reviewed by our automated audit pipeline yet.