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.
npx skills add vaquarkhan/compliance-agent-skills --skill nist-ai-rmf-governancegit clone --depth 1 https://github.com/vaquarkhan/compliance-agent-skillsWrote 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.
[](https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/nist-ai-rmf-governance)<a href="https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/nist-ai-rmf-governance"><img src="https://agentmods.dev/badge/skills/vaquarkhan/compliance-agent-skills/nist-ai-rmf-governance/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.
<a href="https://agentmods.dev/skills/vaquarkhan/compliance-agent-skills/nist-ai-rmf-governance"><img src="https://agentmods.dev/badge/skills/vaquarkhan/compliance-agent-skills/nist-ai-rmf-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00163 | $0.01972 |
| Opus 5.5 | $0.00065 | $0.00789 |
| Sonnet 5.5 | $0.00033 | $0.00394 |
| Haiku 4.5 | $0.00016 | $0.00197 |
Grade A, and why
nist-ai-rmf-governance 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NIST AI RMF Governance
Overview
The NIST AI Risk Management Framework (AI RMF 1.0) (NIST AI 100-1, January 2023) provides voluntary guidance for trustworthy AI across four core functions:
| Function | Purpose | Agent/LLM relevance |
|---|---|---|
| GOVERN | Culture, policies, accountability, workforce | AI governance board, agent approval process |
| MAP | Context, categorization, impacts, benefits/risks | Agent use-case inventory, stakeholder harm analysis |
| MEASURE | Metrics, evaluation, TEVV, documentation | Redaction FN/FP rates, prompt injection tests, bias evals |
| MANAGE | Prioritize, respond, recover, communicate | Kill switches, MCP allowlists, incident playbooks |
Trustworthy AI characteristics (NIST): valid & reliable, safe, secure & resilient, accountable & transparent, explainable & interpretable, privacy-enhanced, fair with harmful bias managed.
Companion resources: NIST AI RMF Playbook, Generative AI profile (NIST AI 600-1), cross-walk to NIST CSF 2.0 (nist-csf-2-assessment).
This skill is the primary AI-specific governance path for compliance-agent-skills deployments.
When to Use
Use this skill when:
- Deploying or auditing LLM agents, MCP servers, or GenAI in regulated workflows
- Building AI governance policies (acceptable use, human oversight, model selection)
- Mapping AI risks for compliance agents processing PHI, PCI, or PII
- TEVV (test, evaluation, verification, validation) for agent outputs and tool calls
- Executive/board AI risk reporting using NIST taxonomy
- Harmonizing with SOC 2 (CC8 change, CC7 monitoring) and ISO 27001 for AI systems
- Customer AI due diligence questionnaires (NIST AI RMF, SOC 2 + AI addendum)
Do not use this skill when:
- Pure infrastructure security with no AI/ML (use
nist-csf-2-assessment) - PHI redaction tuning only (use
hipaa-phi-redaction-pipeline) - Children's data FTC rules (use
coppa-children-privacy) - Student education records (use
ferpa-education-records)
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.
- 1mo ago First seen · 150 lines · 163 tokens per session scan A 611193b7940a
nist-ai-rmf-governance is a skill published in the GitHub repository vaquarkhan/compliance-agent-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 163 tokens to every session and 1,972 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
cmmc-assessment-objectives
Verbatim reference for all 320 NIST 800-171A Rev 2 assessment objectives, plus the Rev 2 → Rev 3 control crosswalk. Use for AO-level lookups (e.g., 3.1.1[c]), evidence planning, and forward-mapping to Rev 3. Pairs with cmmc-expert.
cmmc-expert
CMMC v2.0 expert for DoD contractors. Covers NIST 800-171 Rev 2 (14 families, 110 controls), SPRS scoring, POA&M rules, 32 CFR Part 170, DFARS clauses, scoping, ESP/CSP, C3PAO assessment lifecycle, and Rev 2 → Rev 3 transition.
dora-expert
DORA expert for EU financial entities. Deep knowledge of Digital Operational Resilience Act including 5 pillars, ICT risk management, incident reporting, resilience testing, third-party oversight, and information sharing for financial sector digital resilience.
eu-nis2-expert
EU NIS2 Directive (Directive (EU) 2022/2555) expert. Reference-depth knowledge of essential vs important entity classification, Article 20 governance, the Article 21 ten cybersecurity risk-management measures, the Article 23 24h/72h/1mo incident-reporting timeline, and supervision/enforcement under Articles 32-34.…
gdpr-expert
GDPR expert for EU privacy compliance. Deep knowledge of General Data Protection Regulation including 99 articles, 7 principles, 6 lawful bases, data subject rights, DPO requirements, DPIA, breach notification, cross-border transfers, and enforcement.
ind-dpdpa-expert
India DPDPA expert for the Digital Personal Data Protection Act 2023 and the DPDP Rules 2025. Covers Data Fiduciary obligations, Data Principal rights, Significant Data Fiduciary regime, Consent Manager, breach notification (72-hour), cross-border transfer regime, children's data, sectoral overlap with RBI / SEBI /…