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 firewall-best-practices-auditgit 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/firewall-best-practices-audit)<a href="https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/firewall-best-practices-audit"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/firewall-best-practices-audit/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/firewall-best-practices-audit"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/firewall-best-practices-audit.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 | $0.00070 | $0.03857 |
| Opus 5 | $0.00035 | $0.01929 |
| Sonnet 5 | $0.00014 | $0.00771 |
| Haiku 4.5 | $0.00007 | $0.00386 |
Grade A, and why
firewall-best-practices-audit 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 10d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Firewall Best-Practices Audit
Overview
Use this skill to audit a firewall or NGFW rulebase for security and operational hygiene, vendor-neutrally, over the parsing-* intermediate JSON schema. The audit reads normalized security_policies, nat_rules, address/service objects and groups, zones, vpn_tunnels, system, and admin_users, then emits prioritized findings across the security and operational check families (full catalog: references/check-catalog.md). Each finding carries a severity, a confidence, the affected references, why it matters, and remediation.
This skill is deliberately framework-agnostic. It answers "is this rulebase hardened by general best practice" rather than mapping findings to a compliance framework. It never cites control IDs and never claims an environment is compliant.
The audit reports findings, not verdicts. It never claims a config is "secure" — at best it reports "no in-scope findings" with caveats about what could not be checked (for example, hit-count or last-used data that the static schema does not carry). The output is decision-grade: a short posture line, a severity tally, the list of checks that were skipped for missing data, and a prioritized list of top fixes.
Scope and routing
Operate on the normalized parsing-* schema; do not hand-audit raw vendor text when a parser exists. Treat framework-control mapping as out of scope, route migrations to firewall-config-conversion, and route parity or drift comparisons to firewall-config-diff.
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
5 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.
- 10d ago First seen · 228 lines · 70 tokens per session scan A 463a0b720d0c
firewall-best-practices-audit is a skill published in the GitHub repository fastrevmd-lab/fwskillsshare (8 stars, last pushed 13d ago), licensed MIT. It adds 70 tokens to every session and 3,857 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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