nist-ai-rmf-expert

name	nist-ai-rmf-expert
description	NIST AI 100-1 (AI RMF 1.0) expert. Stub-depth framework plugin that routes to the SCF crosswalk. Level up by adding framework-specific context, assessment workflow, and evidence patterns.
allowed-tools	Read, Glob, Grep

NIST AI 100-1 (AI RMF 1.0) Expert

Stub-depth expertise for NIST AI 100-1 (AI RMF 1.0). This plugin is scaffolded from the SCF crosswalk (158 SCF controls map to 91 framework controls) and defers to /grc-engineer:gap-assessment for the actual compliance check.

Framework identity

• SCF framework ID: general-nist-100-1-ai-rmf
• Region: Global
• Country: US
• Issuing body: NIST (U.S. National Institute of Standards and Technology); voluntary framework, not enforced
• Canonical source: NIST AI 100-1, "Artificial Intelligence Risk Management Framework (AI RMF 1.0)", January 2023

AI RMF is an outcomes framework, not a control catalog and not a certification. It organizes outcomes as Function → Category → Subcategory across four functions — GOVERN, MAP, MEASURE, MANAGE — applied across the AI system lifecycle. Subcategories describe desired risk-management outcomes; they do not prescribe specific controls. Concrete controls come from the SCF crosswalk: 158 SCF controls map to 91 AI RMF subcategories, referenced by subcategory ID (e.g. GOVERN 1.1, MAP 2.3), never by paraphrased prose.

Common failure modes when working with this framework: treating AI RMF as a control catalog to "implement", confusing the four functions with maturity levels, and mapping to subcategory prose instead of subcategory IDs.

Scope and posture (placeholder — fill in when leveling up)

TODO: replace with framework-specific overview. Minimum sections for Reference-depth upgrade:

• Territorial scope (who and where the framework applies)
• Controlled-entity obligations (controller, processor, covered entity, etc.)
• Mandatory timelines (breach notification, assessment cadence)
• Regulator and enforcement mechanism
• Interaction with other frameworks (adequacy decisions, mutual recognition)

Command routing

All commands in this plugin route through /grc-engineer:gap-assessment with framework ID general-nist-100-1-ai-rmf. Reference-depth plugins add:

• evidence-checklist — framework-native evidence by control family
• scope — applicability determination for the organization

Full-depth plugins add framework-specific workflow commands (examples in sibling plugins like soc2, fedramp-rev5, pci-dss).

Levelling up

See the Framework Plugin Guide for the Stub → Reference → Full progression checklist.