What is gpu-ai-skills CLAUDE.md?

A project instruction file for a collection of agent skills that run, benchmark, and profile machine-learning models on Intel GPUs. It explains the repository layout, commands, and validation requirements.

Use it when adding or editing skills for PyTorch, Transformers, vLLM-XPU, or SGLang-XPU on supported Intel GPUs.

It helps contributors change the skills without breaking their structure or skipping required checks.

How intel/gpu-ai-skills configures Claude Code

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 · 49 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to intel/gpu-ai-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/intel/gpu-ai-skills/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/intel/gpu-ai-skills

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/intel/gpu-ai-skills/claude-md/github.svg)](https://agentmods.dev/instructions/intel/gpu-ai-skills/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/intel/gpu-ai-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/intel/gpu-ai-skills/claude-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/intel/gpu-ai-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/intel/gpu-ai-skills/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,541 This file is loaded in full into every session.

When invoked 1,541 The same file — it is already loaded in full.

Security scan C 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.

Model	Per session	Once invoked
Fable 5.1	$0.01541	$0.01541
Opus 5.5	$0.00616	$0.00616
Sonnet 5.5	$0.00308	$0.00308
Haiku 4.5	$0.00154	$0.00154

Measured 2mo ago against content hash 24e0a1958e10, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

gpu-ai-skills CLAUDE.md scanned grade C 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 2mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- No `pkill`, `docker rm -f` of unowned containers, `rm -rf` outside workspace

CLAUDE.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What this repository is

A collection of Agent Skills for running, benchmarking, and profiling arbitrary Hugging Face safetensors models on Intel GPUs (Arc, Arc Pro, Battlemage, Data Center GPU Max). Covers PyTorch + Transformers, vLLM-XPU, and SGLang-XPU stacks.

The skills follow the Agent Skills standard and work with any compliant agent (Claude Code, opencode, Cursor, GitHub Copilot CLI, Gemini CLI, Qwen Code, Kimi Code, Hermes Agent, OpenClaw).

Repository structure

plugins/intel-gpu-ai-skills/skills/   # One directory per skill
  <skill-name>/
    SKILL.md                            # Skill definition (required)
    scripts/                            # Helper scripts referenced by SKILL.md
    data/                               # Supporting data files
scripts/                                # Repo tooling (install, validation)
agents/                                 # Generated AGENTS.md bundle
tests/                                  # Static validation suite
template/                               # SKILL.md template for contributors
.claude-plugin/                         # Claude Code plugin marketplace manifests
.cursor-plugin/                         # Cursor plugin manifests

Commands

Validation (required before any skill change)

# Run full static validation suite
bash tests/static.sh

# Run repo checker + external skill-validator (if installed)
bash scripts/check-skills.sh

# External validator (optional)
# install: https://github.com/agent-ecosystem/skill-validator

The static gate validates:

JSON manifests parse correctly
Every SKILL.md has name and description frontmatter
Skill name matches parent directory (Agent Skills spec requirement)
Python helpers compile
Shell scripts parse
agents/AGENTS.md is in sync with generator
Claude marketplace entries cover every skill

Read the full file on GitHub · 176 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.

2mo ago First seen · 176 lines · 1,541 tokens per session scan C 24e0a1958e10

Subscribe to this mod's changes

gpu-ai-skills CLAUDE.md is an instructions file published in the GitHub repository intel/gpu-ai-skills (49 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,541 tokens to every session, about $0.0062 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI

gpu-ai-skills CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gpu-ai-skills CLAUDE.mdintel/gpu-ai-skills	Instructions file	49	yesterday	Apache-2.0	C	1,541	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

gpu-ai-skills: Instructions file for Claude Code