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 nklofy/code-agent-skills --skill homelab-vlan-segmentationgit clone --depth 1 https://github.com/nklofy/code-agent-skillsWrote 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/nklofy/code-agent-skills/homelab-vlan-segmentation)<a href="https://agentmods.dev/skills/nklofy/code-agent-skills/homelab-vlan-segmentation"><img src="https://agentmods.dev/badge/skills/nklofy/code-agent-skills/homelab-vlan-segmentation/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/nklofy/code-agent-skills/homelab-vlan-segmentation"><img src="https://agentmods.dev/badge/skills/nklofy/code-agent-skills/homelab-vlan-segmentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00056 | $0.02964 |
| Opus 5 | $0.00028 | $0.01482 |
| Sonnet 5 | $0.00011 | $0.00593 |
| Haiku 4.5 | $0.00006 | $0.00296 |
Grade A, and why
homelab-vlan-segmentation 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.
This is a copy
81% identical to homelab-vlan-segmentation — 29 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.
How it starts
The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Homelab VLAN Segmentation
How to split a home network into isolated VLANs so IoT devices, guests, and your main PCs cannot talk to each other. The most impactful security upgrade for a home network.
All firewall rules shown here add isolation between segments — they do not remove existing protections. Apply changes in a maintenance window and verify connectivity between segments after each step before moving on.
When to Use
- Setting up VLANs on a home network for the first time
- Isolating IoT devices (smart bulbs, cameras, TVs) from trusted devices
- Creating a guest Wi-Fi network that cannot reach home devices
- Explaining how VLANs work to someone unfamiliar with the concept
- Configuring trunk ports, access ports, and SSID-to-VLAN mapping
- Troubleshooting inter-VLAN routing or firewall rule issues on pfSense/OPNsense/UniFi
How It Works
Without VLANs — flat network:
All devices on 192.168.1.0/24
Smart TV (potential malware) → can reach your NAS, PCs, everything
With VLANs:
VLAN 10 — Trusted 192.168.10.0/24 (PCs, phones, laptops)
VLAN 20 — IoT 192.168.20.0/24 (smart TV, bulbs, cameras)
VLAN 30 — Servers 192.168.30.0/24 (NAS, Pi, VMs)
VLAN 40 — Guest 192.168.40.0/24 (visitor Wi-Fi)
VLAN 99 — Management 192.168.99.0/24 (switch/AP web UIs)
Smart TV → blocked from reaching 192.168.10.0/24 and 192.168.30.0/24
Guests → internet only, cannot see any home devices
VLAN Design Template
VLAN Name Subnet Gateway Purpose
10 trusted 192.168.10.0/24 192.168.10.1 PCs, phones, laptops
20 iot 192.168.20.0/24 192.168.20.1 Smart home devices
30 servers 192.168.30.0/24 192.168.30.1 NAS, Pi, self-hosted
40 guest 192.168.40.0/24 192.168.40.1 Visitor Wi-Fi
99 management 192.168.99.0/24 192.168.99.1 Network gear web UIs
Examples
Typical homelab with UniFi AP and managed switch:
Scenario: 3-bedroom house, UniFi Dream Machine + UniFi 8-port switch + 2 APs
VLAN 10 — Trusted 192.168.10.0/24 MacBook, iPhones, iPad
VLAN 20 — IoT 192.168.20.0/24 Nest thermostat, Philips Hue, Ring doorbell, smart TVs
VLAN 30 — Servers 192.168.30.0/24 Synology NAS (192.168.30.10), Pi-hole (192.168.30.2)
VLAN 40 — Guest 192.168.40.0/24 Visitor Wi-Fi — internet only
SSID → VLAN mapping:
"Home" → VLAN 10 (WPA2, strong password, trusted devices only)
"IoT" → VLAN 20 (WPA2, separate password, printed on router for setup)
"Guest" → VLAN 40 (WPA2, simple password you can share freely)
Switch port behavior:
Port 1 → trunk to router (tagged VLANs 10,20,30,40,99)
Port 2 → trunk to APs (tagged VLANs 10,20,40; AP handles per-SSID tagging)
Port 3 → access VLAN 30 (NAS — untagged, no VLAN awareness needed)
Port 4 → access VLAN 30 (Pi-hole — untagged)
Port 5–8 → access VLAN 10 (wired workstations)
Firewall rules applied (all rules add isolation, none remove existing protections):
IoT → Trusted: BLOCK
IoT → Servers: BLOCK except 192.168.30.2:53 (Pi-hole DNS allowed)
IoT → Internet: ALLOW
Guest → Local networks: BLOCK
Guest → Internet: ALLOW
Trusted → everywhere: ALLOW
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.
- 6d ago First seen · 313 lines · 56 tokens per session scan A ca63415c5aef
homelab-vlan-segmentation is a skill published in the GitHub repository nklofy/code-agent-skills (18 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 2,964 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to homelab-vlan-segmentation, differing in 29 lines, and is treated as a copy.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
jetson-diagnostic
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
doca-socket-relay
Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint…
offensive-z-wave
Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting…
hsb-flash
Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.