fabric-gpu

fabric-gpu is a skill for Claude Code from fabric-testbed/claude-plugin-marketplace. It costs 16 tokens per session (1,628 once invoked), scanned B, original, Apache-2.0.

Instructions for creating a FABRIC research-network slice with a node containing an NVIDIA GPU, then installing and checking its drivers and CUDA. FABRIC is a testbed for experimenting with networked computing resources.

In plain words
What is it for?
Use them to find a site with an available Tesla T4, RTX 6000, A30, or A40, create the node, install NVIDIA and CUDA software, reboot it, and verify it with nvidia-smi.
Why use it?
They describe the steps needed to obtain a suitable GPU node and make it ready for GPU-based workloads.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the fablib plugin — 18 skills, 1 command shipped together

Good fit Use them to find a site with an available Tesla T4, RTX 6000, A30, or A40, create the node, install NVIDIA and CUDA software, reboot it, and verify it with nvidia-smi.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu
Install

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.

Any agent
npx skills add fabric-testbed/claude-plugin-marketplace --skill fabric-gpu
Clone the repo
git clone --depth 1 https://github.com/fabric-testbed/claude-plugin-marketplace

Made for: Claude Code.

Or install fablib, the plugin that ships this one along with the rest of its 18 skills, 1 command.

Wrote 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.

agentmods badge for fabric-gpu

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu/github.svg)](https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu)
Your own site
<a href="https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu"><img src="https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu/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.

agentmods 80×15 button for fabric-gpu

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu"><img src="https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-gpu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,628 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.01628
Opus 5 $0.00008 $0.00814
Sonnet 5 $0.00003 $0.00326
Haiku 4.5 $0.00002 $0.00163

Measured 10d ago against content hash db369e629954, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade B, and why

fabric-gpu scanned grade B with 2 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 10d 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.

stdout, stderr = node.execute("sudo apt-get install -y -q pciutils && lspci | grep -i 'nvidia\\|3d controller'")

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

f"wget https://developer.download.nvidia.com/compute/cuda/repos/{distro}/{architecture}/cuda-keyring_1.1-1_all.deb",
plugins/fablib/skills/fabric-gpu/SKILL.md · 243 lines

How it starts

The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions

When invoked, generate code to provision a FABRIC node with GPU(s) and install drivers. The workflow is:

  1. Find a site with available GPUs
  2. Create a slice with a GPU node
  3. Submit and wait for the slice
  4. Install NVIDIA/CUDA drivers
  5. Reboot and verify with nvidia-smi

Ask the user which GPU type they need and whether they need CUDA toolkit.

API Reference

Available GPU Models

Model String GPU Filter Field
GPU_TeslaT4 NVIDIA Tesla T4 tesla_t4_available
GPU_RTX6000 NVIDIA RTX 6000 rtx6000_available
GPU_A30 NVIDIA A30 a30_available
GPU_A40 NVIDIA A40 a40_available

Available FPGA Models

Model String FPGA Filter Field
FPGA_Xilinx_U280 Xilinx Alveo U280 fpga_u280_available
FPGA_Xilinx_SN1022 Xilinx SN1022 fpga_sn1022_available

Finding GPU Sites

fablib.get_random_site(
    filter_function=lambda x: x["rtx6000_available"] > 0
)

Adding GPU to Node

node.add_component(model="GPU_RTX6000", name="gpu1")

Patterns

Complete GPU Node with CUDA Driver Install

from fabrictestbed_extensions.fablib.fablib import FablibManager

fablib = FablibManager()

# Step 1: Find a site with the desired GPU
GPU_MODEL = "GPU_RTX6000"
GPU_FILTER_FIELD = "rtx6000_available"

site = fablib.get_random_site(
    filter_function=lambda x: x[GPU_FILTER_FIELD] > 0
)
print(f"Selected site: {site}")

# Step 2: Create slice
slice = fablib.new_slice(name="gpu-experiment")

node = slice.add_node(
    name="gpu-node",
    site=site,
    cores=8,
    ram=32,
    disk=100,
    image="default_ubuntu_22",
)
node.add_component(model=GPU_MODEL, name="gpu1")

# Step 3: Submit
slice.submit()
print("Slice is ready!")
# Step 4: Install NVIDIA CUDA drivers
node = slice.get_node(name="gpu-node")

# Verify GPU PCI device is visible
stdout, stderr = node.execute("sudo apt-get install -y -q pciutils && lspci | grep -i 'nvidia\\|3d controller'")
print(stdout)

# Install prerequisites
commands = [
    "sudo apt-get -q update",
    "sudo apt-get -q install -y linux-headers-$(uname -r) gcc",
]
for cmd in commands:
    node.execute(cmd)

# Install CUDA (adjust distro/version as needed)
distro = "ubuntu2204"
version = "12.6"
architecture = "x86_64"

commands = [
    f"wget https://developer.download.nvidia.com/compute/cuda/repos/{distro}/{architecture}/cuda-keyring_1.1-1_all.deb",
    "sudo dpkg -i cuda-keyring_1.1-1_all.deb",
    "sudo apt-get -q update",
    f"sudo apt-get -q install -y cuda-{version.replace('.', '-')}",
]
for cmd in commands:
    stdout, stderr = node.execute(cmd)

# Step 5: Reboot to load driver
node.execute("sudo reboot")

# Wait for node to come back
slice.wait_ssh(timeout=360, interval=10, progress=True)
slice.update()
slice.test_ssh()

# Step 6: Verify
stdout, stderr = node.execute("nvidia-smi")
print(stdout)

Read the full file on GitHub · 243 lines

Changes

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.

  1. 10d ago First seen · 243 lines · 16 tokens per session scan B db369e629954

Subscribe to this mod's changes

fabric-gpu 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 16 tokens to every session and 1,628 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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