Kubernetes Workload Optimizer

Kubernetes Workload Optimizer is a Containers & Kubernetes skill for AI agents, published by Cletrics in the finops-agents repository on GitHub. Skillspace rates Kubernetes Workload Optimizer D (63/100) and it passed the safety scan; the rating is based on static analysis only.

Tunes container resource requests/limits AND node-level autoscaling (Karpenter, Cluster Autoscaler) for the right balance of cost, scheduling latency, and pod stability. Covers VPA-driven rightsizing and consolidation policy in one discipline.

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
41

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubCletrics/finops-agents

Our review

Architecture
91 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
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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