AI/LLM defensive security reference: prompt-injection defense, OWASP LLM Top 10 defensive mapping, MCP and agentic tool-call hardening, training-data poisoning detection, model-output validation and guardrails, MITRE ATLAS defensive correlation, and NIST AI RMF governance. Agent-extending skill that amplifies backend, security, and AI-application engineering with production-grade defensive patterns for LLM-backed systems. NOT for: offensive techniques (jailbreak authoring, attack-payload crafting, red-team exploitation), model training or fine-tuning methodology, prompt optimization for capability, web-app OWASP Top 10 (see moai-ref-owasp-checklist), or general API design (see moai-ref-api-patterns).
$npx -y skills add modu-ai/moai-adk --skill moai-ref-llm-securityInstalls into the current project.
Run `npx skills use "https://github.com/modu-ai/moai-adk" --skill "modu-ai/moai-adk/moai-ref-llm-security"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/modu-ai/moai-adk" that are relevant to the current task. Run `npx skills add "https://github.com/modu-ai/moai-adk"` and select the relevant skills, then follow their instructions.