agentmods.dev

gke-storage

gke-storage is a skill for Claude Code, Codex from gke-labs/kube-agents. It costs 19 tokens per session (565 once invoked), scanned A, original, Apache-2.0.

Guidance for choosing and configuring storage for applications running in Google Kubernetes Engine (GKE), Google's managed Kubernetes service. It covers storage classes, persistent disks, managed file storage, and Cloud Storage buckets.

In plain words
What is it for?
Use it to configure storage classes, use Kubernetes storage drivers, and set up persistent disks, shared file storage, or mounted Cloud Storage.
Why use it?
It helps you choose storage that matches an application's needs for persistence, shared access, performance, and expansion.

Skill for Claude CodeCodex

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

not rated 53repo +1 today A scan SkillSpector: pass 19 tokens original Apache-2.0

Good fit Use it to configure storage classes, use Kubernetes storage drivers, and set up persistent disks, shared file storage, or mounted Cloud Storage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gke-labs/kube-agents/gke-storage
View source ↗ gke-labs/kube-agents gke-labs.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add gke-labs/kube-agents --skill gke-storage
Clone the repo
git clone --depth 1 https://github.com/gke-labs/kube-agents

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-storage

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-storage"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-storage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 565 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00019 $0.00565
Opus 5 $0.00010 $0.00282
Sonnet 5 $0.00004 $0.00113
Haiku 4.5 $0.00002 $0.00056

Measured 12d ago against content hash 597bbc7ed1a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gke-storage 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.

agents/cluster/skills/gke-storage/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GKE Storage Best Practices

This skill provides guidance on managing storage in Google Kubernetes Engine (GKE) clusters.

Overview

GKE supports various storage options, from Persistent Disks to Cloud Storage. Choosing the right storage type and configuring it correctly is essential for performance and reliability.

Workflows

1. Configure Storage Classes

StorageClasses allow you to describe the "classes" of storage you offer. Different classes might map to quality-of-service levels, or to backup policies.

Example StorageClass Manifest:

apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: premium-rwo
provisioner: pd.csi.storage.gke.io
parameters:
  type: pd-ssd
  replication-type: regional-pd
volumeBindingMode: WaitForFirstConsumer
allowVolumeExpansion: true

Setting allowVolumeExpansion: true is highly recommended for production.

2. Use CSI Drivers

GKE includes container storage interface (CSI) drivers for dynamic provisioning of storage.

  • Compute Engine Persistent Disk CSI Driver: Default for block storage.
  • Google Cloud Filestore CSI Driver: For managed NFS (ReadWriteMany).
  • Cloud Storage FUSE CSI Driver: For mounting GCS buckets as volumes.

Example using Filestore CSI Driver:

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: filestore-pvc
spec:
  accessModes:
    - ReadWriteMany
  storageClassName: standard-rwm # Pre-defined for Filestore
  resources:
    requests:
      storage: 1Ti

3. Implement Volume Expansion

If allowVolumeExpansion is true in the StorageClass, you can resize a volume by updating the PVC manifest.

Steps:

  1. Edit the PVC manifest and increase the storage request.
  2. Apply the changes.

Kubernetes will automatically resize the file system on the volume.

Best Practices

  1. Use CSI Drivers: Always use the official Google Cloud CSI drivers for best integration and performance.
  2. Enable Volume Expansion: Always set allowVolumeExpansion: true in your StorageClasses to allow for growth.
  3. Choose the Right Disk Type: Use pd-ssd or pd-extreme for I/O intensive workloads, and pd-standard or pd-balanced for others.
  4. Use ReadWriteMany Carefully: Filestore (NFS) is great for sharing data among multiple Pods, but be aware of file locking and consistency semantics.

Read the full file on GitHub · 78 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 · 78 lines · 19 tokens per session scan A 597bbc7ed1a9

Subscribe to this mod's changes

gke-storage is a skill published in the GitHub repository gke-labs/kube-agents (53 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 565 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

CloudContainersDevOps and cloud
Related

Other skills, from other repositories

azd-deployment

Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.

sickn33/agentic-awesome-skills · 29 tokens

openshell-cli

Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger keywords - openshell…

NVIDIA/OpenShell · 128 tokens

langbot-deploy

Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…

langbot-app/LangBot · 104 tokens

compute-env-setup

Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…

UnicomAI/wanwu · 134 tokens

azure-cloud-migrate

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud…

microsoft/skills · 106 tokens

atmos-helmfile

Helmfile orchestration: sync/apply/destroy/diff, Kubernetes deployments, varfile generation, EKS integration, source management.

cloudposse/atmos · 33 tokens