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 26zl/cybersec-toolkit --skill configuring-network-segmentation-with-vlansgit clone --depth 1 https://github.com/26zl/cybersec-toolkitWrote 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/26zl/cybersec-toolkit/configuring-network-segmentation-with-vlans)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/configuring-network-segmentation-with-vlans"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/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.
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/configuring-network-segmentation-with-vlans"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/configuring-network-segmentation-with-vlans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.04116 |
| Opus 5 | $0.00024 | $0.02058 |
| Sonnet 5 | $0.00010 | $0.00823 |
| Haiku 4.5 | $0.00005 | $0.00412 |
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.
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 Copies of this mod
1 near-identical copy found in the catalogue:
- configuring-network-segmentation-with-vlans — 94% identical, 8 lines differ
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)
What ships with it
3 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.
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.
- 7d ago First seen · 427 lines · 48 tokens per session scan A 7d6a8bca975a
configuring-network-segmentation-with-vlans is a skill published in the GitHub repository 26zl/cybersec-toolkit (52 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 4,116 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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