network-segmentation-review

network-segmentation-review is a skill for Claude Code from jassics/awesome-claude-security. It costs 52 tokens per session (475 once invoked), scanned A, original, GPL-3.0.

A defensive review of network segmentation and firewall or access-control rules. Network segmentation separates systems into zones so that a compromise in one area is harder to spread.

In plain words
What is it for?
Use it to review or design zones, firewall rules, lateral-movement controls, zero-trust, and microsegmentation.
Why use it?
It helps find weak separation, overly broad rules, and paths that could allow an attacker to move between systems.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the network-security plugin — 3 skills shipped together

Good fit Use it to review or design zones, firewall rules, lateral-movement controls, zero-trust, and microsegmentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jassics/awesome-claude-security/network-segmentation-review
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 jassics/awesome-claude-security --skill network-segmentation-review
Clone the repo
git clone --depth 1 https://github.com/jassics/awesome-claude-security

Made for: Claude Code.

Or install network-security, the plugin that ships this one along with the rest of its 3 skills.

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 network-segmentation-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/jassics/awesome-claude-security/network-segmentation-review/github.svg)](https://agentmods.dev/skills/jassics/awesome-claude-security/network-segmentation-review)
Your own site
<a href="https://agentmods.dev/skills/jassics/awesome-claude-security/network-segmentation-review"><img src="https://agentmods.dev/badge/skills/jassics/awesome-claude-security/network-segmentation-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 network-segmentation-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/jassics/awesome-claude-security/network-segmentation-review"><img src="https://agentmods.dev/badge/skills/jassics/awesome-claude-security/network-segmentation-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 475 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 unknown 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 $0.00052 $0.00475
Opus 5 $0.00026 $0.00237
Sonnet 5 $0.00010 $0.00095
Haiku 4.5 $0.00005 $0.00047

Measured 6d ago against content hash e350a5342916, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

network-segmentation-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 6d 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.

plugins/network-security/skills/network-segmentation-review/SKILL.md · 49 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 6d ago First seen · 49 lines · 52 tokens per session scan A e350a5342916

Subscribe to this mod's changes

network-segmentation-review is a skill published in the GitHub repository jassics/awesome-claude-security (6 stars, last pushed 1mo ago), licensed GPL-3.0. It adds 52 tokens to every session and 475 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 2026-09-03.

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