intel-gpu-device-selection
intel-gpu-device-selection is an MLOps & model serving skill for AI agents, published by intel in the torch-xpu-ops repository on GitHub. Skillspace rates intel-gpu-device-selection B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Select the Intel GPU device to use when a system has multiple Intel GPU devices. Use this skill when the user wants to run a workload on Intel GPU, mentions device selection, ZE_AFFINITY_MASK, or when multiple Level Zero GPU devices are detected and one must be chosen.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 97
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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