gke-cluster-creation

gke-cluster-creation is a skill for Claude Code, Codex from gke-labs/kube-agents. It costs 82 tokens per session (3,533 once invoked), scanned A, a copy of gke-cluster-creation, Apache-2.0.

Guidance for creating, provisioning, and checking Google Kubernetes Engine clusters using predefined setups such as Autopilot, Standard Regional, GPU inference, and AI Hypercompute. It helps gather the required project, location, name, and workload details before creation.

In plain words
What is it for?
Use it to plan or create clusters, select a cluster template and mode, configure networking, inspect existing clusters, monitor creation operations, and audit readiness.
Why use it?
It helps turn cluster requirements into a reviewed configuration while making trade-offs between cost, availability, and infrastructure control clear. It also supports production-readiness checks and highlights networking choices that are hard to change later.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 /opt/data/scripts/cluster_agent_profile.py create \.

Good fit Use it to plan or create clusters, select a cluster template and mode, configure networking, inspect existing clusters, monitor creation operations, and audit readiness.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/gke-labs/kube-agents
agentmods
npx agentmods add skills/gke-labs/kube-agents/gke-cluster-creation

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gke-cluster-creation

README.md
[![agentmods](https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-cluster-creation/github.svg)](https://agentmods.dev/skills/gke-labs/kube-agents/gke-cluster-creation)
Your own site
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-cluster-creation"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-cluster-creation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gke-cluster-creation

Your own site · 80×15
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-cluster-creation"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-cluster-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,533 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.03533
Opus 5 $0.00041 $0.01767
Sonnet 5 $0.00016 $0.00707
Haiku 4.5 $0.00008 $0.00353

Measured 12d ago against content hash 80515638b48c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gke-cluster-creation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to gke-cluster-creation — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/platform/skills/gke-cluster-creation/SKILL.md · 393 lines

How it starts

The opening of the file, as written. The whole thing — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GKE Cluster Creation

This reference guides creating Google Kubernetes Engine (GKE) clusters by providing a set of best-practice templates and guiding through mode selection and customization. The golden path Autopilot configuration is the default for all new clusters.

MCP Tools: list_clusters, create_cluster, get_cluster, list_operations, get_operation

Workflow

  1. Discover context: Use list_clusters to see existing clusters. Use gcloud config get-value project if project unknown.
  2. Gather inputs: project_id, location (region or zone), cluster_name, environment type. If missing essential details, ask the user before taking action.
  3. Select mode & explain trade-offs: If the user hasn't specified a template or mode, present the available templates (e.g., Autopilot, Standard Regional, GPU Inference, AI Hypercompute) and explain key trade-offs (Cost vs. Availability, Autopilot vs. Standard node management).
  4. Configure networking: auto-create subnet (default) or bring-your-own.
  5. Review golden path settings: present the default configuration block (gcloud command or create_cluster JSON payload) and confirm with the user before creation.
  6. Create: Use MCP create_cluster tool or gcloud CLI.
  7. Track: Use get_operation to monitor creation progress.
  8. Verify: Use get_cluster with readMask="*" to confirm golden path settings applied.

Mode Selection

Criteria Autopilot (Golden Path) Standard
Node management Google-managed Self-managed
Pricing Pay per pod resource Pay per node (VM)
: : request : :
Node customization Via ComputeClasses Full control
DaemonSets Allowed (with Full control
: : restrictions) : :
GPU/TPU Supported via Supported via node pools
: : ComputeClasses : :
Best for Most production workloads Kernel tuning, custom OS,
: : : privileged workloads :

Read the full file on GitHub · 393 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 393 lines · 82 tokens per session scan A 80515638b48c

Subscribe to this mod's changes

gke-cluster-creation is a skill published in the GitHub repository gke-labs/kube-agents (54 stars, last pushed today), licensed Apache-2.0. It adds 82 tokens to every session and 3,533 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gke-cluster-creation, differing in 36 lines, and is treated as a copy.

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