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 adriannoes/awesome-agentic-ai --skill executing-nist-rmf-authorization-to-operategit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/executing-nist-rmf-authorization-to-operate)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/executing-nist-rmf-authorization-to-operate"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/executing-nist-rmf-authorization-to-operate/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/adriannoes/awesome-agentic-ai/executing-nist-rmf-authorization-to-operate"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/executing-nist-rmf-authorization-to-operate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00257 | $0.02181 |
| Opus 5 | $0.00129 | $0.01091 |
| Sonnet 5 | $0.00051 | $0.00436 |
| Haiku 4.5 | $0.00026 | $0.00218 |
Grade A, and why
executing-nist-rmf-authorization-to-operate 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 8d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Executing the NIST RMF to an Authorization to Operate (ATO)
When to Use
- When a federal or federally-aligned system (or a FedRAMP cloud service) needs an Authorization to Operate, a re-authorization, or has fallen out of authorization.
- When you must produce or review the core authorization artifacts: System Security Plan (SSP), Security Assessment Report (SAR), and Plan of Action & Milestones (POA&M).
- When categorizing a system's impact level (Low / Moderate / High) under FIPS 199.
- When selecting, tailoring, or implementing a NIST SP 800-53 Rev 5 control baseline.
- When standing up continuous monitoring (ConMon) or pursuing ongoing authorization / cATO after an initial ATO.
Prerequisites
- A defined system and authorization boundary (what's in, what's inherited, what's a leveraged service).
- An identified Authorizing Official (AO), System Owner, and ISSO.
- The information types the system handles (use SP 800-60 to map them to impact levels).
- For cloud: the provider's Customer Responsibility Matrix (CRM) and any inherited/leveraged ATO.
- Access to assessment evidence sources (config, scans, policies) for the Assess step.
Workflow
NIST SP 800-37 Rev 2 defines seven steps. Prepare is the foundation; the rest run in order and then loop through Monitor.
0/1. Prepare (organization and system level)
Establish context: roles (AO, SO, ISSO, assessor), risk-management strategy and tolerance (ties to SP 800-39), a control baseline strategy, common controls available for inheritance, and the system's mission/business context. Define the authorization boundary precisely — scope creep here inflates the whole package.
2. Categorize (FIPS 199 + SP 800-60)
Determine the impact level for confidentiality, integrity, and availability for each information type, then take the high-water mark across the three to set the overall system categorization: Low, Moderate, or High. Document in the SSP. This single decision drives the entire control baseline.
What ships with it
4 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.
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.
- 8d ago First seen · 143 lines · 257 tokens per session scan A 48c8e110fd95
executing-nist-rmf-authorization-to-operate is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 257 tokens to every session and 2,181 once invoked, about $0.0013 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 2026-09-03.
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