conducting-cyber-risk-assessment-with-nist-800-30 SKILL.md skillA

conducting-cyber-risk-assessment-with-nist-800-30 from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add adriannoes/awesome-agentic-ai/conducting-cyber-risk-assessment-with-nist-800-30@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
adriannoes/awesome-agentic-ai
Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/conducting-cyber-risk-assessment-with-nist-800-30/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Jun 25, 2026
Size
10,028 bytes
Repository stars
69
License
MIT

Conduct a defensible cybersecurity risk assessment using the NIST SP 800-30 Rev 1 methodology: prepare scope and a risk model, identify threat sources and threat events, identify vulnerabilities and predisposing conditions, determine likelihood and impact, compute risk, and communicate results as a prioritized risk register. Use when an organization needs an actual risk *assessment* (not a maturity score), when a control framework (CSF, ISO 27001, RMF, SOC 2, PCI) requires a documented risk…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Conducting a Cyber Risk Assessment with NIST SP 800-30

## When to Use

- When the organization needs a real risk *assessment* — an analysis of specific threats, likelihoods, and impacts — rather than a maturity score against a framework. (Maturity tells you how mature your practices are; a risk assessment tells you what could hurt you and how badly.)
- When another framework requires a documented risk analysis as a mandatory input: NIST CSF (ID.RA), ISO 27001 (Clause 6.1.2), NIST RMF / 800-37 (the Prepare and Select steps), SOC 2 (CC3), PCI DSS, or HIPAA (§164.308(a)(1)(ii)(A)).
- When standing up or significantly changing a system and you must understand its risk before authorization or go-live.
- When leadership asks for the organization's top risks, ranked, with a rationale they can defend to a board or regulator.
- When building or refreshing an enterprise risk register.

## Prerequisites

- An inventory of in-scope assets, systems, and the information types they handle (system boundary defined).
- Access to threat intelligence (internal incident history, sector ISAC feeds, MITRE ATT&CK) to ground threat-event likelihood in observed behavior.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add adriannoes/awesome-agentic-ai/conducting-cyber-risk-assessment-with-nist-800-30@sha256:2cf6a3a884c4fba7

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_z5aca7x3hipiiba7.svg)](https://markdownregistry.com/a/art_z5aca7x3hipiiba7)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 25, 2026.

versioncommittedcommitsizeaudit
v1.0 latest2026-06-25 f69bd81 10,028 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10028 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_z5aca7x3hipiiba7
GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/conducting-cyber-risk-assessment-with-nist-800-30
GET https://markdownregistry.com/api/v1/blob/2cf6a3a884c4fba73fafd45afad1d5fdd7e34ec6eef25039948ed26fd605c756

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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