configuring-network-segmentation-with-vlans

configuring-network-segmentation-with-vlans is a skill for Claude Code, Codex from andycungkrinx91/konoha. It costs 48 tokens per session (4,116 once invoked), scanned A, a copy of configuring-network-segmentation-with-vlans, MIT.

A guide to separating a network with VLANs, which are virtual network sections configured on managed switches. It covers isolating areas such as servers, guests, corporate devices, and IoT equipment.

In plain words
What is it for?
It helps design VLANs and IP subnets, configure switch trunks, control traffic between segments, and isolate high-risk or sensitive systems.
Why use it?
It limits which devices can reach one another and reduces the spread of an attack. Combined with routing rules and access controls, it can reduce the impact of a compromised device.

Skill for Claude CodeCodex

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

Good fit It helps design VLANs and IP subnets, configure switch trunks, control traffic between segments, and isolate high-risk or sensitive systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans
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 andycungkrinx91/konoha --skill configuring-network-segmentation-with-vlans
Clone the repo
git clone --depth 1 https://github.com/andycungkrinx91/konoha

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 configuring-network-segmentation-with-vlans

README.md
[![agentmods](https://agentmods.dev/badge/skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans/github.svg)](https://agentmods.dev/skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans)
Your own site
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans/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 configuring-network-segmentation-with-vlans

Your own site · 80×15
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/configuring-network-segmentation-with-vlans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,116 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00048 $0.04116
Opus 5.5 $0.00019 $0.01646
Sonnet 5.5 $0.00010 $0.00823
Haiku 4.5 $0.00005 $0.00412

Measured today against content hash 7d6a8bca975a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

configuring-network-segmentation-with-vlans scanned grade A with 1 finding 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl https://10.10.20.10 # HTTPS to server
Origin

This is a copy

100% identical to configuring-network-segmentation-with-vlans — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/configuring-network-segmentation-with-vlans/SKILL.md · 427 lines

How it starts

The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Configuring Network Segmentation with VLANs

When to Use

  • Segmenting an enterprise network into isolated security zones (corporate, servers, DMZ, guest, IoT)
  • Meeting compliance requirements (PCI-DSS, HIPAA, SOC 2) that mandate network isolation for sensitive data
  • Reducing blast radius of security incidents by preventing lateral movement between network segments
  • Isolating high-risk devices (IoT, BYOD, legacy systems) from critical infrastructure
  • Implementing defense-in-depth by combining VLANs with firewall rules and access control lists

Do not use VLANs as the sole security control without Layer 3 filtering, for isolating networks that require air-gapping, or without proper switch hardening against VLAN hopping attacks.

Prerequisites

  • Managed switches supporting 802.1Q VLAN trunking (Cisco Catalyst, HP Aruba, Juniper EX, etc.)
  • Layer 3 switch or firewall for inter-VLAN routing and access control
  • Network design document specifying VLAN assignments, IP subnets, and traffic flow requirements
  • Console or SSH access to switches with privileged configuration mode
  • Understanding of 802.1Q trunking, STP, and inter-VLAN routing concepts

Workflow

Step 1: Design the VLAN Architecture

# Define VLANs based on security zones and function

VLAN Plan:
  VLAN 10  - CORPORATE    (10.10.10.0/24)  - Employee workstations
  VLAN 20  - SERVERS      (10.10.20.0/24)  - Internal servers
  VLAN 30  - DMZ          (10.10.30.0/24)  - Internet-facing servers
  VLAN 40  - GUEST        (10.10.40.0/24)  - Guest WiFi
  VLAN 50  - IOT          (10.10.50.0/24)  - IoT/OT devices
  VLAN 60  - VOIP         (10.10.60.0/24)  - VoIP phones
  VLAN 100 - MANAGEMENT   (10.10.100.0/24) - Switch/AP management
  VLAN 999 - QUARANTINE   (10.10.99.0/24)  - Isolated/compromised hosts
  VLAN 998 - NATIVE_UNUSED                  - Native VLAN (no traffic)

# Traffic flow matrix:
# CORPORATE -> SERVERS: Allowed (specific ports)
# CORPORATE -> DMZ: Allowed (HTTP/HTTPS only)
# CORPORATE -> GUEST: Denied
# CORPORATE -> IOT: Denied
# GUEST -> Any Internal: Denied
# IOT -> SERVERS: Allowed (specific ports to specific hosts only)
# DMZ -> SERVERS: Allowed (database ports only)
# MANAGEMENT -> All: Allowed (from management stations only)

Read the full file on GitHub · 427 lines

Files

What ships with it

2 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. today First seen · 427 lines · 48 tokens per session scan A 7d6a8bca975a

Subscribe to this mod's changes

configuring-network-segmentation-with-vlans is a skill published in the GitHub repository andycungkrinx91/konoha (12 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 4,116 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to configuring-network-segmentation-with-vlans, differing in 0 lines, and is treated as a copy.

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