workbench-manage
workbench-manage is an MLOps & model serving skill for AI agents, published by RHEcosystemAppEng in the agentic-plugins repository on GitHub. Skillspace rates workbench-manage D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Create and manage Jupyter notebook workbenches on OpenShift AI with image selection, resource configuration, PVC storage, and lifecycle management. Use when: - "Create a notebook workbench" - "Spin up a Jupyter environment for data science" - "Start / stop my workbench" - "What notebook images are available?" - "Delete a workbench I no longer need" Handles Notebook CR lifecycle: create with configurable images and resources, start/stop, attach storage, and delete with data loss warnings. NOT for deploying models (use /model-deploy). NOT for creating projects (use /ds-project-setup). NOT for managing pipelines (use /pipeline-manage).
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 44
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
- 78 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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