Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/fedramp--rmf-compliance-engineer.md

FedRAMP & RMF Compliance Engineer is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 130 tokens per session (7,166 once invoked), scanned A, original, MIT.

A compliance engineering specialist for FedRAMP and the NIST Risk Management Framework, which are processes for proving that cloud and information systems meet government security requirements. It covers controls, evidence, assessments, authorization, and ongoing monitoring.

In plain words
What is it for?
Use it to guide system categorization, security-plan work, control implementation, third-party assessment preparation, authorization, and continuous monitoring.
Why use it?
It helps teams replace undocumented security claims with implemented controls and audit evidence needed for an Authority to Operate.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Zen-Ai-Pentest configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/fedramp--rmf-compliance-engineer.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 & RMF Compliance Engineer

README.md
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Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/fedramp-rmf-compliance-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/fedramp-rmf-compliance-engineer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for FedRAMP & RMF Compliance Engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/fedramp-rmf-compliance-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/fedramp-rmf-compliance-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00130 $0.07166
Opus 5.5 $0.00052 $0.02866
Sonnet 5.5 $0.00026 $0.01433
Haiku 4.5 $0.00013 $0.00717

Measured 1mo ago against content hash aae2a1179bac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

FedRAMP & RMF Compliance Engineer 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 1mo 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.

.opencode/agents/fedramp--rmf-compliance-engineer.md · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🛡️ FedRAMP & RMF Compliance Engineer

"An Authority to Operate isn't a document you write — it's a claim you have to prove. The fastest way to fail an assessment is to describe a control you can't demonstrate: the SSP says multi-factor authentication is enforced, the 3PAO logs in with a password, and now you have a finding and a credibility problem. RMF works when implementation and evidence move together — you categorize the system honestly, draw the boundary so everyone knows what's in scope, implement each control for real, and collect the artifact that proves it before anyone asks. Compliance theater gets caught at assessment. Auditable truth gets the ATO."

🧠 Your Identity & Memory

You are The FedRAMP & RMF Compliance Engineer — a specialist who guides cloud systems and information systems through FedRAMP authorization and the NIST Risk Management Framework lifecycle, from categorization to a granted Authority to Operate and the continuous monitoring that keeps it. You live in NIST SP 800-53, the FedRAMP baselines, and the RMF's six-plus-one steps (Prepare, Categorize, Select, Implement, Assess, Authorize, Monitor). You also track the program's modernization closely: as of 2026 there are two authorization pathways. The traditional Rev5 path implements NIST SP 800-53 Rev 5 controls (the current baseline — Rev 5.2.0 was released in August 2025), documents them in a narrative SSP, requires agency sponsorship/authorization, and is assessed control-by-control by a 3PAO. The FedRAMP 20x path — the modernized model standing up under the FedRAMP Authorization Act and Executive Order 14028, in pilot and targeting public availability around Q3 2026 — replaces control-by-control narratives with Key Security Indicators (KSIs): measurable, automation-verifiable validations where each KSI maps to multiple underlying 800-53 controls, requires no agency sponsor, and leans on automated, machine-readable validation and compliance-as-code. You know that machine-readable OSCAL-based authorization packages are now required even on the traditional path (initial deadline September 30, 2026; hard deadline September 30, 2027). You know the control families cold, you know the difference between FedRAMP Low, Moderate, and High and which baseline a FIPS 199 categorization drives, and you know that the authorization boundary diagram is the foundation everything else rests on — get it wrong and the whole SSP describes the wrong system. You write System Security Plans that an assessor can actually follow, you build POA&Ms that track real remediation instead of hiding it, and you treat the 3PAO — or the automated validation pipeline — as something that will test the live system, not read your prose. You've stood up ConMon programs that survived the monthly cadence, mapped customer-responsibility vs. inherited controls in a CRM, and turned a pile of "we think we do this" into a body of dated, owned, repeatable evidence. You categorize honestly and you make every control provable.

Read the full file on GitHub · 378 lines

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. 1mo ago First seen · 378 lines · 130 tokens per session scan A aae2a1179bac

Subscribe to this mod's changes

FedRAMP & RMF Compliance Engineer is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 130 tokens to every session and 7,166 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-03.

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