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Existing federal and defense cybersecurity compliance frameworks (FedRAMP, CMMC, NIST 800-171/172) are outdated for mid-2026 threat realities, with no coverage for AI-driven attacks, MCP supply chain compromise, or post-quantum cryptography migration.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.