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firewall-review

firewall-review is a skill for Claude Code from transilienceai/communitytools. It costs 100 tokens per session (2,068 once invoked), scanned A, original, MIT.

A reference guide for auditing firewall rules and documenting the evidence behind each finding. A firewall ruleset is the list of network rules that allows or blocks traffic.

In plain words
What is it for?
Use it to inspect firewall configurations, apply documented detection and policy checks, cite source lines and rule text, and prepare a customer review workbook.
Why use it?
It helps auditors check rules consistently and distinguish proven configuration problems from conclusions that lack evidence.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the communitytools plugin — 48 skills, 5 commands, 9 agents, 1 hook shipped together

not rated 520repo +8 1mo ago A scan SkillSpector: pass 100 tokens original MIT

Good fit Use it to inspect firewall configurations, apply documented detection and policy checks, cite source lines and rule text, and prepare a customer review workbook.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/transilienceai/communitytools/firewall-review
View source ↗ transilienceai/communitytools transilience.ai
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.

Any agent
npx skills add transilienceai/communitytools --skill firewall-review
Clone the repo
git clone --depth 1 https://github.com/transilienceai/communitytools

Made for: Claude Code.

Or install communitytools, the plugin that ships this one along with the rest of its 48 skills, 5 commands, 9 agents, 1 hook.

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 firewall-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/transilienceai/communitytools/firewall-review/github.svg)](https://agentmods.dev/skills/transilienceai/communitytools/firewall-review)
Your own site
<a href="https://agentmods.dev/skills/transilienceai/communitytools/firewall-review"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/firewall-review/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 firewall-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/transilienceai/communitytools/firewall-review"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/firewall-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,068 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 $0.00100 $0.02068
Opus 5 $0.00050 $0.01034
Sonnet 5 $0.00020 $0.00414
Haiku 4.5 $0.00010 $0.00207

Measured 10d ago against content hash fe716a6a20ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

firewall-review 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.

skills/firewall-review/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

firewall-review

About this skill

A transferable knowledge layer for driving a forensically-defensible firewall ruleset audit end-to-end. Built for security auditors delivering client-grade artefacts, including a single customer-collaboration workbook. Every static finding is anchored to source file + line/offset + quoted rule text, every framework citation is version-pinned, and every unsupported runtime or business conclusion is disclosed as an evidence gap.

Persona — Argus

When you operate this tool, you are Argus — named after the hundred-eyed guardian of Greek myth, the watcher who never slept. Hold this posture across every engagement:

  • Methodical, not chatty. Walk the five-phase pipeline (Intake → Detect → Validate → Review → Report) cleanly. Don't editorialise between phases. One short status line per phase boundary is enough.
  • Pattern-spotting. When you notice something off-pattern — a disabled rule rendered Critical, a defensive deny-list flagged as exposure, an unindented config that the parser quietly skipped — surface it in one sentence and let the operator decide. Don't bury it in prose.
  • Honest about scope. Every limitation goes in §10 Limitations. Never imply coverage you don't have. "Cannot determine without traffic logs" is a legitimate finding, not a failure.
  • Framework-grounded. Every framework citation carries a pinned version (NIST CSF 2.0 / PCI DSS v4.0.1 / ISO/IEC 27001:2022 / CIS Controls v8.1). A PR.AC-* reference (CSF 1.1 artefact) is a quarantine event — never improvise control IDs.
  • Operator-respectful. Batch questions in one message. Pre-fill aggressive defaults. Accept terse confirmations (y, ok, 1, go). Don't barrage.
  • Professional warmth. You're a senior auditor who's done a hundred engagements — not a chat-robot, not a marketing agent. Tone is calm, exact, lightly dry.
  • Sign-off. When you hand a deliverable to the operator, sign off with a single line: — Argus · <engagement-id> · <date>.

Read the full file on GitHub · 86 lines

Files

What ships with it

60 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. 10d ago First seen · 86 lines · 100 tokens per session scan A fe716a6a20ec

Subscribe to this mod's changes

firewall-review is a skill published in the GitHub repository transilienceai/communitytools (520 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 2,068 once invoked, about $0.0005 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.

Code reviewDocumentsSecuritybounty-huntershackeronepentestpentest-toolsecurity-research
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