gpu-custom-setup

gpu-custom-setup is an MLOps & model serving skill for AI agents, published by Rockielab in the rockie-claude repository on GitHub. Skillspace rates gpu-custom-setup F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

One-time onboarding flow for users who set ROCKIE_GPU_MODE=custom (i.e., they have their own GPU setup — own AWS account, on-prem cluster, SSH tunnel to a workstation, university HPC, custom orchestration — instead of using Rockie's deidentified GPU router). Trigger this when (1) the user mentions GPU/training/provisioning, (2) `echo $ROCKIE_GPU_MODE` returns `custom`, AND (3) `.claude/gpu-custom.md` doesn't exist or is empty. Walks the user through their auth/provision/connect/monitor/terminate flow and saves it to .claude/gpu-custom.md so future agent sessions reuse the saved flow without re-asking. Run this AT MOST ONCE per project.

Grade
F
Quality
45 / 100
Safety
Risky
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.

View source on GitHubRockielab/rockie-claude

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • accesses sensitive system files
  • 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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