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/nist-ai-rmf-expert

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.

shell
$ npx -y skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/nist-ai-rmf-expert
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

nist-ai-rmf-expert.SKILL.md
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](../../../../../docs/FRAMEWORK-PLUGIN-GUIDE.md) for the Stub → Reference → Full progression checklist.

Read more
Read it on GitHub ↗
Ships withtrust-center

Open-source GRC Engineering resource for Claude. claude-grc-engineering turns technical evidence from cloud, SaaS, code, and security tools into framework-aligned findings, gap reports, remediation guidance, evidence packages, and OSCAL workflows.

Get the whole plugin, auto-invoked