Nist Ai Rmf

If you're deploying AI systems and need to assess risk systematically, this walks you through NIST's AI Risk Management Framework across four functions: Govern, Map, Measure, and Manage. It covers the full spectrum from establishing governance structures and accountability to evaluating trustworthiness characteristics like fairness, explainability, and safety. You feed it your system description, lifecycle stage, and deployment context, and it runs through the framework's categories and subcategories to identify gaps. Honestly most useful when you're preparing for compliance discussions or vendor evaluations, less so if you just want a quick security check. Pairs well with ISO 42001 for governance depth or OWASP LLM Top 10 if you need the security angle covered too.

skills.sh installs: 247
GitHub stars: 69
last updated: Aug 21, 2026

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Install

$ npx -y skills add mastepanoski/claude-skills --skill nist-ai-rmf --agent claude-code

Installs into .claude/skills of the current project.

Files

NIST AI Risk Management Framework (AI RMF 1.0)

This skill enables AI agents to perform a comprehensive AI risk assessment using the NIST AI Risk Management Framework (AI RMF 1.0), published January 2023 by the National Institute of Standards and Technology.

The AI RMF is a voluntary, technology- and sector-agnostic framework designed to help organizations manage risks associated with AI systems throughout their lifecycle. It promotes trustworthy AI development by addressing risks that affect individuals, organizations, and society.

Use this skill to identify, assess, and manage AI risks; establish governance structures; ensure trustworthy AI characteristics; and align with international AI risk management best practices.

Combine with "ISO 42001 AI Governance" for comprehensive compliance coverage or "OWASP LLM Top 10" for security-focused assessment.