A framework for applying the US National Institute of Standards and Technology's AI Risk Management Framework to a specific AI system or governance question. It provides consultation, governance-plan, and full-assessment modes using the framework's named categories.

Use it to look up relevant AI risks, design an AI governance plan, or assess one AI system across the framework's four functions.

It turns a broad AI risk review into a structured process with references to the framework's requirements and generative-AI guidance. The result is a governance aid, not a substitute for organizational judgment.

nist-ai-rmf — Skill for Claude Code and Codex by LegalQuants

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add LegalQuants/lq-skills --skill nist-ai-rmf

Clone the repo

git clone --depth 1 https://github.com/LegalQuants/lq-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/legalquants/lq-skills/nist-ai-rmf/github.svg)](https://agentmods.dev/skills/legalquants/lq-skills/nist-ai-rmf)

Your own site

<a href="https://agentmods.dev/skills/legalquants/lq-skills/nist-ai-rmf"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/nist-ai-rmf/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/legalquants/lq-skills/nist-ai-rmf"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/nist-ai-rmf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 182 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,830 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00182	$0.02830
Opus 5	$0.00091	$0.01415
Sonnet 5	$0.00036	$0.00566
Haiku 4.5	$0.00018	$0.00283

Measured 13d ago against content hash 6f81b593337f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nist-ai-rmf scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/nist-ai-rmf/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NIST AI Risk Management Framework

What this skill does

Applies the NIST AI RMF — by name, by Subcategory, by Action ID — to whatever AI use case, governance question, or assessment the user brings. Three modes; pick one based on the user's question, default to consult if unsure.

Consult — fast lookup. "What should I do per the AI RMF for X?" Returns applicable risks (for GenAI) and the relevant Suggested Actions / Subcategories, quoted verbatim. Best for quick gut-check questions.
Governance plan — structured plan. "What should our governance plan include per the AI RMF?" Organized around the GOVERN function's Subcategories, with GenAI-specific actions layered in where applicable. Best for standing up or auditing an AI governance program.
Assessment — full impact assessment. "Run a NIST AI RMF impact assessment for X." Walks all four functions for one specific system. Best when the user wants a documented artifact.

All three modes share the same source-of-truth: verbatim NIST text in references/. Quote the files; don't invent or paraphrase.

Source and scope

Two NIST publications underlie the skill. The verbatim extracted markdown ships in references/; the raw source HTMLs and maintainer-only re-extraction tooling live outside this distribution.

NIST AI 100-1 (AI RMF 1.0, January 2023) — the Core framework. Applies to any AI system. Defines Govern, Map, Measure, Manage; their Categories and Subcategories; and seven Trustworthy AI characteristics. Extracted into references/core/.
NIST AI 600-1 (Generative AI Profile, July 2024) — the GenAI-specific overlay. 12 enumerated GAI risks and 211 Suggested Actions coded GV-X.Y-NNN etc., each mapped to a Core Subcategory. Extracted into references/gai-profile/.

The Core applies to any AI system. The Profile is an overlay on top of the Core for generative systems. So:

Non-GenAI system → Core only. Don't pull GAI Profile actions; many won't apply.
GenAI system → Core for the framework + Profile for GenAI-specific risks and actions.
Mixed pipeline → split per component.

Read the full file on GitHub · 159 lines

Files

What ships with it

20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

13d ago First seen · 159 lines · 182 tokens per session scan A 6f81b593337f

Subscribe to this mod's changes

nist-ai-rmf is a skill published in the GitHub repository LegalQuants/lq-skills (54 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 182 tokens to every session and 2,830 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI Legal and compliance

prowler-compliance

Creates, syncs, audits and manages Prowler compliance frameworks end-to-end. Covers the two supported JSON schemas (universal multi-provider and legacy per-provider), the SDK model tree (legacy attribute classes, universal ComplianceFramework, ConfigRequirements guardrails), output formatters (legacy per-framework +…

prowler-cloud/prowler · 227 tokens

policy

Define and enforce decision policies, compliance rules, and exceptions over Semantica graphs. Uses ContextGraph.checkdecisionrules/enforcedecisionpolicy and context.PolicyEngine.

semantica-agi/semantica · 36 tokens

801-regulations-eu-ai-act

Use when reviewing, designing, or modifying Java enterprise systems that use AI, LLMs, AI agents, RAG, tool calling, workflow automation, or model-based decision support and need EU AI Act regulatory awareness. This should trigger for requests such as Review a Java AI system for EU AI Act controls; Design governance…

jabrena/plinth · 108 tokens

813-regulations-iso-42001

Use when reviewing, designing, or modifying Java enterprise systems that use GenAI, LLMs, AI-assisted coding, RAG, AI agents, generated code, generated dependencies, prompt workflows, external model providers, or AI-enabled business logic and need ISO/IEC 42001 AI management system-aware engineering guidance. Part of…

jabrena/plinth · 77 tokens

open-weights

Use when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping. Owns the license-class map (OSI-open versus custom-community versus non-commercial), the always-verify-the-model-card rule, size-to-VRAM…

ericrisco/rsc-harness · 146 tokens

ai-policy-generator

AI governance policy creation for nonprofits and enterprises with frameworks, risk assessment, ethical guidelines, and compliance templates. Use when drafting AI usage policies, responsible AI frameworks, or organizational AI governance documents.

travisjneuman/.claude · 42 tokens