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intaris
Guardrails service for AI agents. Default-deny tool call evaluation with LLM safety analysis, priority-ordered decision matrix, and human-in-the-loop escalations. Session recording, behavioral analysis, MCP proxy, secret redaction, and real-time audit.
14stars
4forks
Python
agent-safetyai-agentsautomationguardrailshuman-in-the-loopmcppolicy-enginetool-use
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCP + SKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest fpytloun/intarisAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/intaris curl -fsSL https://raw.githubusercontent.com/fpytloun/intaris/main/SKILL.md -o ~/.claude/skills/intaris/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
intaris — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt