enable-xpu-monitoring

enable-xpu-monitoring is a skill for Claude Code from intel/gpu-ai-skills. It costs 83 tokens per session (2,295 once invoked), scanned A, original, Apache-2.0.

A skill for deploying a single-node monitoring stack on an Intel GPU host with Docker Compose. It sets up services that collect hardware and system metrics and show them in Grafana dashboards.

In plain words
What is it for?
Use it to start the XPU Manager, exporters, Prometheus, and Grafana containers and inspect their monitoring dashboards.
Why use it?
It provides a defined setup for viewing Intel GPU, CPU, memory, disk, network, and vLLM activity without installing a separate application package.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the intel-gpu-ai-skills plugin — 22 skills, 1 agent shipped together

Good fit Use it to start the XPU Manager, exporters, Prometheus, and Grafana containers and inspect their monitoring dashboards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/intel/gpu-ai-skills/enable-xpu-monitoring
About the project

Intel GPU AI Skills is a collection of agent skills for setting up, running, benchmarking, and profiling Hugging Face models on Intel GPUs. It supports workflows involving PyTorch, vLLM-XPU, SGLang-XPU, llama.cpp-SYCL, and migration from CUDA to XPU. The catalogue contains the project's skills, instructions, agent, and plugin.

intel/gpu-ai-skills · 39 stars · on GitHub

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 intel/gpu-ai-skills --skill enable-xpu-monitoring
Clone the repo
git clone --depth 1 https://github.com/intel/gpu-ai-skills

Made for: Claude Code.

Or install intel-gpu-ai-skills, the plugin that ships this one along with the rest of its 22 skills, 1 agent.

Its marketplace also offers this one on its own, as the plugin enable-xpu-monitoring — /plugin install enable-xpu-monitoring after adding the marketplace above.

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 enable-xpu-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/intel/gpu-ai-skills/enable-xpu-monitoring/github.svg)](https://agentmods.dev/skills/intel/gpu-ai-skills/enable-xpu-monitoring)
Your own site
<a href="https://agentmods.dev/skills/intel/gpu-ai-skills/enable-xpu-monitoring"><img src="https://agentmods.dev/badge/skills/intel/gpu-ai-skills/enable-xpu-monitoring/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 enable-xpu-monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/intel/gpu-ai-skills/enable-xpu-monitoring"><img src="https://agentmods.dev/badge/skills/intel/gpu-ai-skills/enable-xpu-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00083 $0.02295
Opus 5.5 $0.00033 $0.00918
Sonnet 5.5 $0.00017 $0.00459
Haiku 4.5 $0.00008 $0.00230

Measured 5d ago against content hash 6183c6aa4f77, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

enable-xpu-monitoring 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 5d 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 -s http://localhost:9090/-/healthy # Prometheus healthy
plugins/intel-gpu-ai-skills/skills/enable-xpu-monitoring/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

enable-xpu-monitoring

Deploy a single-node monitoring stack on an Intel GPU host from intel/xe-full-stack-monitoring. The stack is pure Docker Compose — no CLI, no Python package, no tarball. That repo's AGENT.md is the source of truth; this skill gives the short path and defers detail to it.

What gets deployed

Container Port Purpose
xpumd (XPU Manager v2.0) 9471 GPU hardware metrics via Level Zero
node-exporter 9100 CPU, RAM, disk, network
intel-xpu-prometheus 9090 Scrapes xpumd, node, and vLLM
intel-xpu-grafana 3000 4 dashboards: Quickview, GPU, vLLM, System

All listeners bind to 127.0.0.1. Grafana has no login (anonymous, read-only Viewer).

Step 1 — Preflight

ls /dev/dri/renderD* >/dev/null 2>&1 && echo "[OK] GPU render nodes" || echo "[FAIL] no render nodes"
docker info >/dev/null 2>&1 && echo "[OK] docker" || echo "[FAIL] docker not reachable"
docker compose version >/dev/null 2>&1 && echo "[OK] compose" || echo "[FAIL] compose plugin missing"
for p in 9471 9100 9090 3000; do
  (ss -ltn 2>/dev/null || netstat -ltn) | grep -q ":$p " && echo "port $p IN USE" || echo "port $p free"
done

Fix any [FAIL]. Ports held by a previous run of this same stack are fine. If 9471, 9100 or 9090 is held by anything else, it must be freed; those ports cannot be changed.

If port 3000 is held by another app, do not stop that app. Move Grafana to a free port instead:

GRAFANA_PORT=3000
if (ss -ltn 2>/dev/null || netstat -ltn) | grep -q ":3000 " \
   && ! docker ps --format '{{.Names}}' | grep -qx intel-xpu-grafana; then
  for p in $(seq 3001 3099); do
    (ss -ltn 2>/dev/null || netstat -ltn) | grep -q ":$p " || { GRAFANA_PORT=$p; break; }
  done
fi
echo "Grafana port: $GRAFANA_PORT"

If GRAFANA_PORT is not 3000, tell the user clearly:

Read the full file on GitHub · 219 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. 5d ago First seen · 219 lines · 83 tokens per session scan A 6183c6aa4f77

Subscribe to this mod's changes

enable-xpu-monitoring is a skill published in the GitHub repository intel/gpu-ai-skills (39 stars, last pushed yesterday), licensed Apache-2.0. It adds 83 tokens to every session and 2,295 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-13.

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