agentic-coding-playbook: Skill for Claude Code

.agents/skills/federal-security-controls-lookup/SKILL.md

federal-security-controls-lookup is a skill for Claude Code, Codex from GSA-TTS/agentic-coding-playbook. It costs 34 tokens per session (1,418 once invoked), scanned A, original, CC0-1.0.

A lookup guide for NIST SP 800-53 security controls, OWASP risks for large language models and AI agents, checklist items, and security terms. It points users to related policy and remediation guidance.

In plain words
What is it for?
Finding guidance for controls such as AC-6, risks such as LLM01, checklist items, or topics such as secrets and input validation.
Why use it?
It helps connect a security question or failed checklist item to the relevant control or guidance. This avoids searching through federal security documents manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is GSA-TTS/agentic-coding-playbook's own configuration. It tells Claude Code and Codex how to work on agentic-coding-playbook 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 agentic-coding-playbook configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GSA-TTS/agentic-coding-playbook. 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/GSA-TTS/agentic-coding-playbook/main/.agents/skills/federal-security-controls-lookup/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/GSA-TTS/agentic-coding-playbook

Made for: Claude Code, Codex.

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 federal-security-controls-lookup

README.md
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Your own site
<a href="https://agentmods.dev/skills/gsa-tts/agentic-coding-playbook/federal-security-controls-lookup"><img src="https://agentmods.dev/badge/skills/gsa-tts/agentic-coding-playbook/federal-security-controls-lookup/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 federal-security-controls-lookup

Your own site · 80×15
<a href="https://agentmods.dev/skills/gsa-tts/agentic-coding-playbook/federal-security-controls-lookup"><img src="https://agentmods.dev/badge/skills/gsa-tts/agentic-coding-playbook/federal-security-controls-lookup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,418 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00034 $0.01418
Opus 5 $0.00017 $0.00709
Sonnet 5 $0.00007 $0.00284
Haiku 4.5 $0.00003 $0.00142

Measured 12d ago against content hash a3744abe5b30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

federal-security-controls-lookup 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 12d 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.

.agents/skills/federal-security-controls-lookup/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Federal Security Controls Lookup

This skill navigates the federal agentic AI guidance repository to find relevant policy documents, checklist items, and remediation guidance for a given security control, OWASP risk, or keyword.

When to Use

  • User asks about a specific NIST control (e.g., "What does AC-6 require?")
  • User asks about an OWASP risk (e.g., "How do we handle LLM01 prompt injection?")
  • User asks a security question (e.g., "How should we handle secrets?")
  • User needs to trace a checklist failure back to guidance
  • User needs to understand which controls apply to a topic

Lookup Procedure

Step 1: Classify the Query

Determine which type of lookup the user needs:

Query Pattern Type Example
AC-*, AU-*, CM-*, IA-*, IR-*, RA-*, SA-*, SC-*, SI-*, SR-* NIST Control ID "AC-6", "SI-10"
LLM01-LLM10 OWASP LLM Risk "LLM01"
Agentic-01-Agentic-10 OWASP Agentic Risk "Agentic-05"
Checklist number like 1.1, 5.3 Checklist Item "item 2.5"
Free text Keyword Search "secrets", "input validation"

Step 2: Read the Traceability Matrix

Read docs/TRACEABILITY.md — this is the navigation index for the entire repository.

It contains five mapping tables:

  1. NIST Control -> Document sections (Table 1)
  2. OWASP LLM Risk -> Controls and sections (Table 2a)
  3. OWASP Agentic Risk -> Controls and sections (Table 2b)
  4. Checklist Item -> Control and guidance (Table 3, items 1.1-10.6)
  5. AI RMF Function -> Documents (Table 4)

Step 3: Follow the Lookup Path

For NIST Control IDs (e.g., AC-6)
  1. Find the control in Table 1 of docs/TRACEABILITY.md
  2. Note which document sections are referenced (e.g., AGENTS.md §3.1, SECURITY-CONTROLS.md §3.1)
  3. Note which checklist items verify this control
  4. Read the referenced sections from those documents
  5. Present: control name, where guidance lives, what the checklist verifies, key requirements

Read the full file on GitHub · 135 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. 12d ago First seen · 135 lines · 34 tokens per session scan A a3744abe5b30

Subscribe to this mod's changes

federal-security-controls-lookup is a skill published in the GitHub repository GSA-TTS/agentic-coding-playbook (25 stars, last pushed 2d ago), licensed CC0-1.0. It adds 34 tokens to every session and 1,418 once invoked, about $0.0002 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 2026-08-30.

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