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.
npx skills add fastrevmd-lab/fwskillsshare --skill hipaa-ngfw-compliancegit clone --depth 1 https://github.com/fastrevmd-lab/fwskillsshareWrote 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.
[](https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/hipaa-ngfw-compliance)<a href="https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/hipaa-ngfw-compliance"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/hipaa-ngfw-compliance/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.
<a href="https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/hipaa-ngfw-compliance"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/hipaa-ngfw-compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.03241 |
| Opus 5 | $0.00034 | $0.01621 |
| Sonnet 5 | $0.00014 | $0.00648 |
| Haiku 4.5 | $0.00007 | $0.00324 |
Grade A, and why
hipaa-ngfw-compliance 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.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HIPAA NGFW Compliance Research
Overview
Use this skill to answer questions like “what does an NGFW need to do to be HIPAA compliant?” or “is this firewall design sufficient for HIPAA Security Rule expectations?” The core answer is: a next-generation firewall is not HIPAA compliant by itself. HIPAA Security Rule compliance is assessed for the covered entity or business associate, the electronic protected health information (ePHI) it creates, receives, maintains, or transmits, and the administrative, physical, and technical safeguards used to protect that ePHI.
An NGFW can be an important technical safeguard and evidence source. It can enforce segmentation, access control, encrypted transmission paths, remote-access controls, threat prevention, logging, and monitoring. But it only supports HIPAA when it is selected through risk analysis, configured according to policy, monitored, reviewed, documented, and integrated into incident response and business associate governance.
Treat this as research and assessment guidance, not legal advice and not an OCR determination. When producing final compliance language, cite 45 CFR Part 164 Subpart C sections and defer final interpretation to the entity’s privacy/security officer, counsel, compliance team, or qualified assessor.
Scope and routing
Parse raw configurations with the matching parsing-* skill first. Use this skill when findings must map to HIPAA safeguards and ePHI evidence; use firewall-best-practices-audit for framework-neutral hygiene.
Runtime intake
Before starting the workflow, inspect the request, supplied artifacts, and
available approved read-only evidence. If unresolved facts could materially
change safety, scope, correctness, confidence, or the requested output, read
references/runtime-intake.md.
For each unresolved material fact whose catalog condition is true, invoke Claude AskUserQuestion or Codex request_user_input before continuing or issuing an open-ended request.
Ask at most three single-select catalog questions per round. After each response, ask another round whenever any unresolved material catalog condition remains true; continue only when none remain. Do not repeat answered questions or show the full catalog.
Without a native tool, present each selected catalog question with its 2-3 labeled choices and a free-text Other path in concise plain text; do not substitute a generic checklist.
What ships with it
4 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.
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.
- 12d ago First seen · 214 lines · 69 tokens per session scan A a44f55c9031b
hipaa-ngfw-compliance is a skill published in the GitHub repository fastrevmd-lab/fwskillsshare (9 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 3,241 once invoked, about $0.0003 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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