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 fabric-testbed/claude-plugin-marketplace --skill fabric-networkgit clone --depth 1 https://github.com/fabric-testbed/claude-plugin-marketplaceWrote 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/fabric-testbed/claude-plugin-marketplace/fabric-network)<a href="https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-network"><img src="https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-network/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/fabric-testbed/claude-plugin-marketplace/fabric-network"><img src="https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-network.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 | $0.00026 | $0.03046 |
| Opus 5 | $0.00013 | $0.01523 |
| Sonnet 5 | $0.00005 | $0.00609 |
| Haiku 4.5 | $0.00003 | $0.00305 |
Grade B, and why
fabric-network scanned grade B 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 12d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
router.execute("sudo sysctl -w net.ipv4.ip_forward=1") How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
When invoked, generate networking code for FABRIC slices. Determine the user's networking needs:
- L2 Networks (Bridge, PTP, STS) — Layer 2 Ethernet connectivity
- L3 FABnet — FABRIC's routed IPv4/IPv6 network across sites
- FABNetv4Ext — Public IPv4 addresses
- Facility Ports — External connectivity to campus/provider networks
- Sub-interfaces/VLANs — VLAN tagging on dedicated NICs
- Port Mirroring — Traffic capture
Guide users on NIC type selection based on their needs.
Important: Use the modern API pattern for networks:
- Create the network with
slice.add_l2network()orslice.add_l3network() - Set interface mode:
iface.set_mode('auto') - Add interface to network:
net.add_interface(iface) - For L3 routing:
node.add_route(subnet=fablib.FABNETV4_SUBNET, next_hop=net.get_gateway())
API Reference
L2 Network Types
net = slice.add_l2network(
name: str = None,
interfaces: list[Interface] = [], # Can pass here or use net.add_interface() after
type: str = None, # "L2Bridge", "L2PTP", "L2STS"
subnet: ipaddress = None, # For auto IP assignment
gateway: ipaddress = None,
user_data: dict = {},
) -> NetworkService
- L2Bridge: Local Ethernet on a single site, unlimited interfaces
- L2PTP: Point-to-point link between exactly 2 interfaces (can span sites)
- L2STS: Site-to-site link between exactly 2 interfaces on different sites
L3 Network
net = slice.add_l3network(
name: str = None,
interfaces: list[Interface] = [], # Can pass here or use net.add_interface() after
type: str = "IPv4", # "IPv4", "IPv6", "IPv4Ext", "IPv6Ext"
user_data: dict = {},
technology: str = None,
subnet: ipaddress.ip_network = None,
site: str = None,
) -> NetworkService
Network Methods
net.add_interface(iface) # Add interface to network
net.get_gateway() # Get gateway for L3 networks
net.get_interfaces() # Get all interfaces on network
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.
- 12d ago First seen · 354 lines · 26 tokens per session scan B 664e7b838203
fabric-network is a skill published in the GitHub repository fabric-testbed/claude-plugin-marketplace (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 3,046 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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…
google-cloud-filestore-autoscale
Inspects Google Cloud Filestore capacity and utilization, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds…
terraform-module-library
Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
vast-gpu
Rent, manage, and destroy GPU instances on vast.ai. Use when user says "rent gpu", "vast.ai", "rent a server", "cloud gpu", or needs on-demand GPU without owning hardware.
doca-hardware-safety
Use this skill whenever the agent is about to recommend or apply a change that touches DPU / NIC hardware state on a live system — mlxconfig firmware-parameter write, NIC firmware burn, BFB reflash, NIC ↔ DPU mode flip, SR-IOV or device-emulation slot enable, kernel boot-parameter change (IOMMU, hugepages, VFIO), PCIe…
aws-lambda-microvms
Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbox compute, or…