aidp-cluster-ops
aidp-cluster-ops is a Cloud platforms skill for AI agents, published by oracle-samples in the oracle-aidp-samples repository on GitHub. Skillspace rates aidp-cluster-ops D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Manage AIDP Spark compute clusters — list, status, start/stop/restart, installed libraries (JARs/Python), provision/scale a new cluster (driver/worker shapes, autoscale, GPU/RAPIDS, AI Compute), and connect external BI tools (JDBC/ODBC). Use when the user asks about clusters, needs to start/stop compute, create or scale a cluster, install libraries, set up a GPU cluster, use AI Compute for agent flows, connect Tableau/Power BI/DBeaver, or pick a cluster before running data work.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- UPL-1.0
- 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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