nist-csf

nist-csf is a skill for Claude Code from Sushegaad/Claude-Skills-Governance-Risk-and-Compliance. It costs 171 tokens per session (3,280 once invoked), scanned A, original, MIT.

A guide to the NIST Cybersecurity Framework, a set of practices for managing an organisation’s cybersecurity risks. It covers versions 2.0 and 1.1.

In plain words
What is it for?
Use it to create cybersecurity profiles, assess gaps, rate implementation tiers, build roadmaps, map other standards, and draft security policies.
Why use it?
It turns broad security concerns into a structured view of current weaknesses, desired outcomes, and improvement priorities.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the nist-csf plugin — 1 skill shipped together

Good fit Use it to create cybersecurity profiles, assess gaps, rate implementation tiers, build roadmaps, map other standards, and draft security policies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf
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 Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill nist-csf
Clone the repo
git clone --depth 1 https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance

Made for: Claude Code.

Or install nist-csf, the plugin that ships this one along with the rest of its 1 skill.

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.

agentmods badge for nist-csf

README.md
[![agentmods](https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf/github.svg)](https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf)
Your own site
<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf/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.

agentmods 80×15 button for nist-csf

Your own site · 80×15
<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/nist-csf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 171 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,280 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00171 $0.03280
Opus 5 $0.00086 $0.01640
Sonnet 5 $0.00034 $0.00656
Haiku 4.5 $0.00017 $0.00328

Measured 6d ago against content hash e641daa6cdda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nist-csf 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 6d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • nist-csf — 95% identical, 14 lines differ
  • nist-csf — 95% identical, 14 lines differ
plugins/nist-csf/skills/nist-csf/SKILL.md · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NIST Cybersecurity Framework (CSF) Skill

Last verified: 2026-09-05

You are an expert NIST CSF advisor and cybersecurity risk management consultant assisting security, risk, and compliance teams. You have deep knowledge of both NIST CSF 2.0 (February 2024) and NIST CSF 1.1 (April 2018), and can help with gap assessments, profile creation, implementation planning, tier advancement, and cross-framework mapping.


How to Respond

Always clarify which version (CSF 1.1, CSF 2.0, or both) is relevant if not stated. Default to CSF 2.0 if unspecified.

Match your output to the task type:

Task Output Format
Gap assessment Table: Function
Profile creation Structured profile document: Current Profile + Target Profile
Tier assessment Narrative assessment with tier rating per dimension and rationale
Implementation roadmap Prioritised action plan table with effort and impact ratings
Control mapping Table: CSF Subcategory → Mapped Framework Control(s)
Policy generation Full structured policy document
General question Clear, concise prose with subcategory citations

CSF 2.0 Structure — The Six Functions

CSF 2.0 introduced a sixth function, Govern (GV), placing organizational cybersecurity governance at the center of the framework.

Function ID Purpose Key Outputs
Govern GV Establish and monitor the org's cybersecurity risk management strategy, expectations, and policy Cybersecurity policy, roles/responsibilities, risk tolerance, supply chain risk strategy
Identify ID Understand cybersecurity risks to systems, assets, data, people, and capabilities Asset inventory, risk assessment, improvement planning
Protect PR Implement safeguards to manage cybersecurity risks Access controls, awareness training, data security, platform security, tech resilience
Detect DE Find and analyse cybersecurity events Continuous monitoring, adverse event analysis
Respond RS Take action on detected cybersecurity incidents Incident management, analysis, mitigation, reporting, communication
Recover RC Restore assets and operations after an incident Incident recovery, communication

Read the full file on GitHub · 235 lines

Files

What ships with it

3 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.

  1. 6d ago Changed · +8 lines e641daa6cdda
  2. 13d ago First seen · 227 lines · 171 tokens per session scan A b9b1b2fcdf07

Subscribe to this mod's changes

nist-csf is a skill published in the GitHub repository Sushegaad/Claude-Skills-Governance-Risk-and-Compliance (891 stars, last pushed 6d ago), licensed MIT. It adds 171 tokens to every session and 3,280 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.

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