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.
/plugin marketplace add intel/gpu-ai-skillsnpx agentmods add plugins/intel/gpu-ai-skills/marketplacegit clone --depth 1 https://github.com/intel/gpu-ai-skillsGrade A, and why
intel-gpu-ai-skills 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 2d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "intel-gpu-ai-skills",
"owner": {
"name": "Rahul Unnikrishnan Nair"
},
"metadata": {
"description": "Agent Skills for running, benchmarking, profiling, and fixing Hugging Face safetensors models on Intel GPUs (Arc, Arc Pro, Battlemage, Data Center GPU Max). Complements vllm-project/vllm-skills (NVIDIA) and huggingface/skills (Hub workflows).",
"version": "0.1.0"
},
"plugins": [
{
"name": "cuda-to-xpu-migration",
"source": "./plugins/intel-gpu-ai-skills/skills/cuda-to-xpu-migration",
"skills": [
"./"
],
"description": "Create a CUDA-to-XPU migration assessment for an existing AI repo. Identify CUDA-specific assumptions, route to the right XPU skills, produce a migration report. Use when the user has a CUDA repo, notebook, Dockerfile, launch script, HF / vLLM / SGLang workload, or Triton kernel and asks to migrate it to Intel Arc / Arc Pro / Battlemage / XPU — including \"convert this to XPU\" / \"move it to XPU\" and the bare \"migrate this repo\" request where scope is not yet set. A request that says \"port\" routes to xpu-port. Plans and routes only. Not for executing an already-scoped rewrite (use xpu-port), running migrated code, or measuring it."
},
{
"name": "xpu-port",
"source": "./plugins/intel-gpu-ai-skills/skills/xpu-port",
"skills": [
"./"
],
"description": "Execute a single-target CUDA-to-XPU port of a PyTorch repo with libcst-based scan, mechanical rewrite, and CPU FP64 vs target-dtype correctness verify on one forward pass. Use when the request says \"port\" — \"port my repo to XPU\", \"port my repo at <path> to XPU\", \"rewrite the CUDA calls to XPU\", \"apply the mechanical transforms\", \"run the scan and rewrite\", \"make the port changes now\". Not for the \"migrate\" verb (\"migrate my repo\", \"migrate this repo to XPU\") or a bare whole-repo workflow request where scope is not yet set — those start with cuda-to-xpu-migrationWhat ships with it
1 file beside marketplace.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 173 lines scan A 51f894d1ac08
intel-gpu-ai-skills is a plugin published in the GitHub repository intel/gpu-ai-skills (16 stars, last pushed 5d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-30.
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