sector-federal-government

Map cybersecurity compliance gaps against federal and allied frameworks for 2026 threats.

Updated May 11, 2026
One-click install
npx skills add https://github.com/blamejs/exceptd-skills --skill sector-federal-government
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sector-federal-government
Source: https://github.com/blamejs/exceptd-skills/tree/main/skills/sector-federal-government
Command: npx skills add https://github.com/blamejs/exceptd-skills --skill sector-federal-government

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Existing federal and defense cybersecurity compliance frameworks (FedRAMP, CMMC, NIST 800-171/172) are outdated for mid-2026 threat realities, with no coverage for AI-driven attacks, MCP supply chain compromise, or post-quantum cryptography migration. This skill fills that gap with current, threat-aligned guidance for federal agencies and defense industrial base organizations.

Core Features & Use Cases

  • Threat-to-Framework Gap Mapping: Explicitly identifies where existing federal and allied government controls fail to address mid-2026 attack vectors including Volt Typhoon pre-positioning, MCP namespace typosquats, and AI-generated code provenance risks.
  • Compliance Implementation Guidance: Provides actionable steps for meeting requirements for FedRAMP 20x, CMMC 2.0 phased rollout, OMB M-24-04 AI risk management, and allied government baselines including UK NCSC GovAssure and AU PSPF 2024.
  • Use Case: A defense contractor preparing for a CMMC Level 2 C3PAO assessment can use this skill to identify gaps between their current NIST 800-171 Rev 2 implementation and upcoming Rev 3 requirements, plus address missing controls for AI development tools and MCP server trust.

Quick Start

Use the sector-federal-government skill to get a prioritized gap analysis of your federal or defense contractor cybersecurity program against mid-2026 threat realities and current mandates like CMMC 2.0 and FedRAMP 20x.

Frequently Asked Questions about sector-federal-government

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map NIST 800-171 controls to mid-2026 AI and supply chain threats?

NIST 800-171 control mapping is performed by identifying gaps where existing controls fail to address mid-2026 attack vectors like AI coding assistant provenance risks and MCP namespace typosquats. This process generates a prioritized threat-to-framework gap analysis.

What is the best way to prepare for a CMMC 2.0 C3PAO assessment against new threat realities?

CMMC 2.0 assessment preparation involves comparing current NIST 800-171 Rev 2 implementations against upcoming Rev 3 requirements, while addressing missing controls for AI development tools and MCP server trust to ensure full compliance.

Does FedRAMP 20x compliance require post-quantum cryptography migration planning?

FedRAMP 20x compliance requires threat-aligned guidance that explicitly identifies control gaps for post-quantum cryptography migration. This ensures federal agency baselines address emerging nation-state attack vectors effectively.

How do federal cybersecurity frameworks like OMB M-24-04 address AI cyber risk?

OMB M-24-04 addresses AI cyber risk by providing actionable implementation steps for AI risk management mandates. It identifies where current federal controls fail to mitigate AI-driven attacks and MCP supply chain compromise.

Can I use this to align UK NCSC GovAssure baselines with defense compliance requirements?

Allied government cybersecurity baselines including UK NCSC GovAssure and AU PSPF 2024 are fully supported. The skill provides threat-aligned guidance to map these international frameworks against mid-2026 nation-state threat realities.

Why does my current NIST 800-171 implementation fail to cover MCP supply chain compromise?

NIST 800-171 implementations fail to cover MCP supply chain compromise because existing federal cybersecurity frameworks lack provisions for mid-2026 threat vectors like MCP namespace typosquats and AI-generated code provenance risks.