gpu-custom
gpu-custom is an MLOps & model serving skill for AI agents, published by Rockielab in the rockie-claude repository on GitHub. Skillspace rates gpu-custom D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Runtime skill for users in ROCKIE_GPU_MODE=custom — invoked when the user (or agent) needs to do anything GPU-related (provision, connect, check status, check cost, terminate) in a project where Rockie's GPU router is bypassed in favor of the user's own setup. Reads `.claude/gpu-custom.md` (populated by /gpu-custom-setup) for the user's documented flow and follows it. Replaces the deidentified `rockie-gpu` surface and /gpu-spend in custom mode — those route to gpu.py which exits gracefully when ROCKIE_GPU_MODE is not 'router'. If `.claude/gpu-custom.md` doesn't exist, redirect to /gpu-custom-setup first.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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