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 automateyournetwork/netclaw --skill subnet-calculatorgit clone --depth 1 https://github.com/automateyournetwork/netclawWrote 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/automateyournetwork/netclaw/subnet-calculator)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/subnet-calculator"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/subnet-calculator/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/automateyournetwork/netclaw/subnet-calculator"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/subnet-calculator.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 | $0.00078 | $0.02733 |
| Opus 5 | $0.00039 | $0.01367 |
| Sonnet 5 | $0.00016 | $0.00547 |
| Haiku 4.5 | $0.00008 | $0.00273 |
Grade A, and why
subnet-calculator 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subnet Calculator (IPv4 + IPv6)
Available Tools
1. subnet_calculator — IPv4 Subnet Details
python3 $MCP_CALL "python3 -u $SUBNET_MCP_SCRIPT" subnet_calculator '{"cidr":"192.168.1.0/24"}'
Parameters:
cidr(required): IPv4 CIDR notation, e.g.,10.0.0.0/8,172.16.0.0/12,192.168.1.0/24
Returns:
- Network address, broadcast address, netmask, wildcard mask
- Prefix length, host bits
- Number of total and usable addresses
- First and last usable host addresses
- Usable hosts preview (up to 10)
- Previous and next subnets (same size)
- Address classification: private, global, link-local, multicast, loopback, reserved
- Human-readable summary
2. subnet_calculator_v6 — IPv6 Subnet Details
python3 $MCP_CALL "python3 -u $SUBNET_MCP_SCRIPT" subnet_calculator_v6 '{"cidr":"2001:db8::/48"}'
Parameters:
cidr(required): IPv6 CIDR notation, e.g.,2001:db8::/32,fd00::/64,fe80::/10
Returns:
- Network address (compressed and exploded forms)
- Last address in range
- Prefix length, host bits
- Number of addresses (exact for /64+, exponential notation for larger)
- Number of /64 subnets contained
- Previous and next subnets
- Address classification: ULA, global unicast, link-local, multicast
- Standard allocation annotation (e.g., "/64 = SLAAC capable", "/48 = site allocation")
- Human-readable summary
3. subnet_calculator_auto — Auto-Detect IPv4/IPv6
python3 $MCP_CALL "python3 -u $SUBNET_MCP_SCRIPT" subnet_calculator_auto '{"cidr":"10.0.0.0/24"}'
python3 $MCP_CALL "python3 -u $SUBNET_MCP_SCRIPT" subnet_calculator_auto '{"cidr":"2001:db8:abcd::/48"}'
Automatically detects IP version and calls the appropriate calculator.
When to Use
- Interface addressing: Calculate the correct subnet for a new interface
- VLSM planning: Break a large block into appropriately sized subnets
- ACL wildcard masks: Get the wildcard mask for access-list entries
- Routing verification: Confirm that route entries match expected subnets
- IPv6 migration planning: Understand IPv6 allocation standards (/48, /64, /128)
- Network design: Validate addressing schemes before deployment
- Troubleshooting: Verify if two IPs are in the same subnet
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.
- 9d ago First seen · 223 lines · 78 tokens per session scan A 3efe8487ee2b
subnet-calculator is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It adds 78 tokens to every session and 2,733 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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.