agentleFS
martinholovskymartinholovsky/SOTA-skills/skills/sota-security-compliance/SKILL.md

sota-security-compliance

Skill27 starsChanged 2 months agoCC-BY-4.0View on GitHub

State-of-the-art security & compliance engineering (2026) for the cybersecurity control frameworks and product-security regulations that drive architecture, code, and CI gates — not the organizational policy binder. Use when work must satisfy or be audited against NIST CSF 2.0, SP 800-53, SP 800-171 / CMMC, the Secure Software Development Framework (SSDF, SP 800-218), FedRAMP, the EU Cyber Resilience Act (CRA), or ISA/IEC 62443 (OT/ICS/embedded). Covers control-framework-as-code crosswalks (control → engineering mechanism → evidence), CUI boundaries, FIPS-validated crypto, SBOM + coordinated vulnerability disclosure + security-update obligations, secure-SDLC gates, and OT zones/conduits & security levels. Complements sota-privacy-compliance (personal data, GDPR, SOC 2, ISO 27001). Trigger keywords: compliance, NIST, CSF, 800-53, 800-171, CMMC, CUI, SSDF, FedRAMP, CRA, Cyber Resilience Act, SBOM, VEX, CVD, IEC 62443, OT security, ICS, security levels, zones and conduits, FIPS 140.

The file

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 9 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.