Implements input/output validation guardrails for LLM applications using NVIDIA NeMo Guardrails (Colang), custom Python validators for PII detection, and the Guardrails AI framework, intercepting user inputs (prompt injection, PII, off-topic queries) and model outputs (hallucinations, toxic content, schema compliance).
安装
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-llm-guardrails-for-securitynpx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-llm-guardrails-for-security -a claude-code -gnpx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-llm-guardrails-for-security -a codex -ggemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/implementing-llm-guardrails-for-securitygh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-llm-guardrails-for-securitygit clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills /tmp/mukul975__Anthropic-Cybersecurity-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/mukul975__Anthropic-Cybersecurity-Skills/skills/implementing-llm-guardrails-for-security ~/.claude/skills/implementing-llm-guardrails-for-security # Claude Code
cp -R /tmp/mukul975__Anthropic-Cybersecurity-Skills/skills/implementing-llm-guardrails-for-security ~/.agents/skills/implementing-llm-guardrails-for-security # Codex, Cursor, Gemini CLI, Copilot, OpenCode