Is Model Config Recommend safe and trustworthy?

tashan scores Model Config Recommend on public evidence — tashan score 45.0/100, it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Model Config Recommend?

Configure it from its source repository — it is a remote / registry server.

Who maintains Model Config Recommend?

9 GitHub contributors, source: intel/gpu-ai-skills.

‹ The Index

Model Config Recommend

plugin

Recommend a vLLM-XPU deployment config (quant, KV dtype, DP/TP, max concurrency, max context) for a Hugging Face decoder-only LLM on Intel Arc B-series GPUs using roofline math against published hardware specs. Experimental; predictions are physics-bounded ranges, not measured throughput. Use after xpu-discover and before vllm-xpu-run.

Works with: Claude Code (native)
native: this artifact type is that client's own format

Install (Claude Code):

/plugin marketplace add intel/gpu-ai-skills
/plugin install model-config-recommend@intel-model-skillpack

tashan score: 45.0
Adoption: 1 repos
Upkeep: 100.0
Freshness: 99.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 9
License: Apache-2.0

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

tashan Pro$6/mo

Model Config Recommend scores 45 today. Pro keeps the series, so you can see whether that is a project getting better or one on its way down.

The whole series behind any row, back to the first day we measured it
The replacement, named — not just the news that something died
tashan doctor over your own config, on your own machine

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[![tashan](https://tashan.sh/badge/plugin-intel-gpu-ai-skills-model-config-recommend.svg)](https://tashan.sh/capability/plugin-intel-gpu-ai-skills-model-config-recommend.html)

source ↗ · plugin:intel/gpu-ai-skills/model-config-recommend

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-09-13 · scorer s5 · how · something wrong here?