rocs-testbed-slurm
rocs-testbed-slurm is an MLOps & model serving skill for AI agents, published by kaust-ark in the ARK repository on GitHub. Skillspace rates rocs-testbed-slurm D (68/100) and it passed the safety scan; the rating is based on static analysis only.
How to submit SLURM jobs on the SANDS Lab ROCS testbed cluster (KAUST). Covers GPU GRES selection (v100/a100 — p100 is off-policy), QoS caps, conda env activation, multi-node DeepSpeed, preemptible spot jobs, and the watchdog that kills jobs with <15% GPU utilization. Use for any project whose compute_backend is slurm and whose cluster nodes are named `mcnode*`.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 1 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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