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gke-cost-analysis

An AI agent skill from google/skills, scored 77 out of 100 by code.

77/ 100B

Code score by group

  • Spec20/20
  • Description16/20
  • Procedure10/15
  • Done criteria4/15
  • Resources10/10
  • Scripts5/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GKE costs across projects, namespaces, or workloads, analyzing billing reports in BigQuery (`bq`), checking cluster cost budgets (`gcloud billing`), or diagnosing cost drivers like pod requests vs. actual utilization (`kubectl top`). Don't use for applying cost optimization changes, creating rightsizing manifests (VPA/MPA), or selecting ComputeClasses (use gke-cost-optimization instead).

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
google/skills
Folder
skills/cloud/gke-cost-analysis
License
Apache-2.0
GitHub stars
23,991
SKILL.md lines
133
Other files
2

Add gke-cost-analysis to your agent

npx skills add google/skills --skill gke-cost-analysis

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.