Assess AI risk using the NIST AI RMF 1.0 framework.
npx skills add https://github.com/mastepanoski/claude-skills --skill nist-ai-rmf
Please help me install this Agent Skill. Skill: nist-ai-rmf Source: https://github.com/mastepanoski/claude-skills/tree/main/skills/nist-ai-rmf Command: npx skills add https://github.com/mastepanoski/claude-skills --skill nist-ai-rmf
AI RMF assessment and governance using the NIST AI RMF 1.0 framework to identify, quantify, and manage risks across AI systems throughout their lifecycle.
Provide the AI RMF data for your system to generate a comprehensive assessment report.
High-intent search queries and answers about installing and using this skill.
You can assess AI risk using the NIST RMF 1.0 framework by providing your AI system description, lifecycle stage, and organizational context to generate a structured evaluation across the Govern, Map, Measure, and Manage functions.
The NIST AI RMF 1.0 risk assessment process is a structured four-function evaluation—Govern, Map, Measure, and Manage—designed to identify, quantify, and manage risks across AI systems throughout their lifecycle.
Yes, you can use NIST AI RMF for regulatory compliance and risk reporting. It supports regulatory alignment by generating a comprehensive report with governance, risk context, measurement results, and remediation recommendations.
To generate an AI risk assessment report, you need to provide guided inputs including the ai_system_description, the current lifecycle_stage, and the organizational context to tailor the evaluation and remediation recommendations.
The best way to manage AI risks across the system lifecycle is by applying the NIST AI RMF 1.0 framework, which structures your evaluation through governance, mapping, measurement, and management with predefined steps and evidence prompts.
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