configuring-network-segmentation-with-vlans

configuring-network-segmentation-with-vlans is a skill for Claude Code, Codex from Youngmaidainon/Agent-Level-Up. It costs 93 tokens per session (4,165 once invoked), scanned A, a copy of configuring-network-segmentation-with-vlans, MIT.

A guide to dividing a network into separate VLANs, or isolated logical sections, for corporate systems, servers, guests, and IoT devices. Traffic between sections can then be controlled by a firewall or router.

In plain words
What is it for?
Use it to plan VLANs, configure managed switches, isolate risky devices, and control traffic between network zones.
Why use it?
It limits how far an attacker or faulty device can reach after entering one part of the network. It also helps meet security requirements for sensitive systems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan VLANs, configure managed switches, isolate risky devices, and control traffic between network zones.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/youngmaidainon/agent-level-up/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 Youngmaidainon/Agent-Level-Up --skill configuring-network-segmentation-with-vlans
Clone the repo
git clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-Up

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/youngmaidainon/agent-level-up/configuring-network-segmentation-with-vlans/github.svg)](https://agentmods.dev/skills/youngmaidainon/agent-level-up/configuring-network-segmentation-with-vlans)
Your own site
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/configuring-network-segmentation-with-vlans"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/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/youngmaidainon/agent-level-up/configuring-network-segmentation-with-vlans"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/configuring-network-segmentation-with-vlans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,165 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 94% 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 $0.00093 $0.04165
Opus 5 $0.00046 $0.02083
Sonnet 5 $0.00019 $0.00833
Haiku 4.5 $0.00009 $0.00417

Measured 7d ago against content hash c325312e2955, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 7d ago.

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

94% identical to configuring-network-segmentation-with-vlans — 8 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.

cyber-security/ctf/configuring-network-segmentation-with-vlans/SKILL.md · 429 lines

How it starts

The opening of the file, as written. The whole thing — 429 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 · 429 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. 7d ago First seen · 429 lines · 93 tokens per session scan A c325312e2955

Subscribe to this mod's changes

configuring-network-segmentation-with-vlans is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (3 stars, last pushed 16d ago), licensed MIT. It adds 93 tokens to every session and 4,165 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to configuring-network-segmentation-with-vlans, differing in 8 lines, and is treated as a copy.

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