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 gongyijie85/dsh-ecc --skill homelab-vlan-segmentationgit clone --depth 1 https://github.com/gongyijie85/dsh-eccWrote 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/gongyijie85/dsh-ecc/homelab-vlan-segmentation)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/homelab-vlan-segmentation"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/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/gongyijie85/dsh-ecc/homelab-vlan-segmentation"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/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 | $0.00089 | $0.02997 |
| Opus 5 | $0.00044 | $0.01499 |
| Sonnet 5 | $0.00018 | $0.00599 |
| Haiku 4.5 | $0.00009 | $0.00300 |
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 8d 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.
- 8d ago First seen · 313 lines · 89 tokens per session scan A a6e5d6574566
homelab-vlan-segmentation is a skill published in the GitHub repository gongyijie85/dsh-ecc (7 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 2,997 once invoked, about $0.0004 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.
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