fedramp

fedramp is a skill for Claude Code from CarbeneAI/Forge. It costs 165 tokens per session (3,025 once invoked), scanned A, original, MIT.

Expert guidance for FedRAMP, the United States government process for checking and approving the security of cloud services. It covers NIST security controls and documents such as the system security plan, assessment reports, and remediation plans.

In plain words
What is it for?
Assessing readiness, mapping security controls, preparing authorization documents, reviewing cloud architecture, and maintaining compliance after approval.
Why use it?
It helps teams understand the evidence, security requirements, and ongoing reviews needed for federal cloud authorisation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

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.

agentmods
npx agentmods add skills/carbeneai/forge/fedramp
Any agent
npx skills add CarbeneAI/Forge --skill fedramp
Clone the repo
git clone --depth 1 https://github.com/CarbeneAI/Forge

Made for: Claude Code.

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 fedramp

README.md
[![agentmods](https://agentmods.dev/badge/skills/carbeneai/forge/fedramp.svg)](https://agentmods.dev/skills/carbeneai/forge/fedramp)
Your own site
<a href="https://agentmods.dev/skills/carbeneai/forge/fedramp"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/fedramp.svg" alt="Measured on agentmods" height="20"></a>
Per session 165 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,025 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00165 $0.03025
Opus 5 $0.00082 $0.01512
Sonnet 5 $0.00033 $0.00605
Haiku 4.5 $0.00016 $0.00302

Measured 5d ago against content hash 681596781ee7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

fedramp 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 5d 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

1 near-identical copy found in the catalogue:

  • fedramp — 97% identical, 4 lines differ
.claude/skills/FedRAMP/SKILL.md · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FedRAMP Certification Skill

A comprehensive guide for helping users navigate FedRAMP authorization — from initial readiness through ATO and ongoing continuous monitoring.

Quick Reference: What Does the User Need?

Identify the user's goal and jump to the appropriate section:

User Goal Go To
"Are we ready for FedRAMP?" / gap assessment Readiness & Gap Assessment
Writing SSP, POA&M, SAR, SAP, or other docs ATO Documentation
"Which controls apply to us?" / control mapping NIST 800-53 Control Mapping
Cloud architecture / AWS/Azure/GCP config Architecture Guidance
Already authorized, ongoing compliance Continuous Monitoring

Current FedRAMP State (as of 2025–2026)

  • Baseline: NIST SP 800-53 Rev 5 (approved May 2023, fully in effect)
  • Control counts (Rev 5): Low = ~156, Moderate = 323, High = 421
  • OSCAL mandate: RFC-0024 requires all CSPs to transition to machine-readable OSCAL packages by September 2026
  • Security Inbox: As of January 5, 2026, all authorized CSPs must maintain a dedicated Security Inbox for urgent vulnerability directives (no CAPTCHAs or barriers)
  • FedRAMP 20x: A modernization initiative in progress; introduces continuous authorization and modular/API-driven submissions. Traditional SSP/SAP/SAR templates remain required for non-20x paths.
  • Key templates updated: SSP, SAR, SAP, POA&M, CIS/CRM, IIW, ISCP — all updated to align with Rev 5 (Dec 2024 releases)

1. Readiness & Gap Assessment

Approach

  1. Clarify scope — Ask the user: What is the CSO (Cloud Service Offering)? IaaS/PaaS/SaaS? Target impact level?
  2. Identify authorization path — Agency Authorization (sponsor needed) vs. JAB P-ATO (Joint Authorization Board — effectively suspended since 2024; verify current status with FedRAMP PMO) vs. FedRAMP 20x pilot
  3. Run through the readiness checklist — See references/readiness-checklist.md
  4. Surface gaps — Map current state to required controls; flag missing documentation, unimplemented controls, and architectural deficiencies
  5. Prioritize — Group gaps by: (a) blockers for readiness review, (b) items addressable before 3PAO assessment, (c) POA&M candidates

Read the full file on GitHub · 251 lines

Files

What ships with it

6 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. 5d ago First seen · 251 lines · 165 tokens per session scan A 681596781ee7

Subscribe to this mod's changes

fedramp is a skill published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 165 tokens to every session and 3,025 once invoked, about $0.0008 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 2026-08-31.

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