launch-serverless-gpu-job

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

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

Launch a one-off / batch GPU job (training, evaluation, export, benchmarking) on a rented or serverless GPU when you don't have a local one — or need a bigger/faster card than you have. Covers three providers: Vast.ai (cheap marketplace GPUs you rent + tear down; fully automated here via a helper CLI), Modal (managed serverless, per-second, auto scale-to-zero — what LibreYOLO's own nightly e2e runs on), and Beam (managed serverless, simple decorator). Use whenever someone wants to "run this on a cloud GPU", "train on a rented GPU", "spin up a GPU for a job", "launch on Vast/Modal/Beam", or check what's still billing. NOT for standing inference endpoints / autoscaling serving — this is for batch jobs that start, do work, and stop.

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

493

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.

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