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.
npx skills add skillmds/skillmd --skill gke-basicsgit clone --depth 1 https://github.com/skillmds/skillmdWrote 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.
[](https://agentmods.dev/skills/skillmds/skillmd/gke-basics)<a href="https://agentmods.dev/skills/skillmds/skillmd/gke-basics"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/gke-basics/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.
<a href="https://agentmods.dev/skills/skillmds/skillmd/gke-basics"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/gke-basics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00004 | $0.01083 |
| Opus 5.5 | $0.00002 | $0.00433 |
| Sonnet 5 | $0.00001 | $0.00217 |
| Haiku 4.5 | $0.00000 | $0.00108 |
Grade A, and why
gke-basics 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trigger: Use when working with Google Kubernetes Engine basics — cluster setup, node pools, workloads, networking, and storage fundamentals.
GKE Basics
Managed Kubernetes platform on Google Cloud. Defaults to Autopilot mode.
Quick Start
gcloud services enable container.googleapis.com --quiet
gcloud container clusters create-auto my-cluster --region=us-central1 --quiet
gcloud container clusters get-credentials my-cluster --region=us-central1 --quiet
GKE Skill Routing Table
Load the single, most specific GKE sub-skill below matching your workload requirements. Do not load multiple GKE skills unless explicitly required.
| Scenario | Trigger Keywords | Target Skill |
|---|---|---|
| Golden Path Defaults | production defaults, | gke-golden-path |
| : : golden path : : | ||
| Cluster Creation | create cluster, | gke-cluster-creation |
| : : provision GKE : : | ||
| Networking & Ingress | private cluster, VPC, | gke-networking, |
: : Gateway API, Ingress, : gke-service-networking : |
||
| : : DNS : : | ||
| Security & IAM | Workload Identity, | gke-platform-security, |
: : Secret Manager, RBAC, : gke-workload-security : |
||
| : : hardening : : | ||
| Autoscaling | HPA, VPA, Cluster | gke-workload-scaling |
| : : Autoscaler, NAP : : | ||
| Compute Classes | ComputeClass, Spot | gke-compute-classes |
| : : fallback, GPU/TPU nodes : : | ||
| Cost Analysis | BigQuery billing | gke-cost-analysis |
| : : exports, budgets, live : : | ||
| : : monitoring : : | ||
| Cost Optimization | Spot VMs, rightsizing, | gke-cost-optimization |
| : : quotas : : | ||
| AI/ML Workloads | LLM, GPU/TPU inference, | gke-inference |
| : : serving, vLLM : : | ||
| GPU/TPU Disruption | GPU termination, TPU | gke-ai-troubleshooting- |
: : shutdown, host : handle-disruption-gpu-tpu : |
||
| : : maintenance : : | ||
| Cluster Upgrades | upgrade, maintenance | gke-upgrades |
| : : window, release channel : : | ||
| Observability | monitoring, logging, | gke-observability |
| : : Prometheus, dashboards : : | ||
| Multi-tenancy | namespace isolation, | gke-multitenancy |
| : : resource quota, : : | ||
| : : LimitRange : : | ||
| Batch & HPC | batch, HPC, Kueue, | gke-batch-hpc |
| : : JobSet, parallel jobs : : | ||
| App Onboarding | containerize, | gke-app-onboarding |
| : : Dockerfile, deploy app, : : | ||
| : : onboard : : | ||
| Backup & DR | backup plan, restore, | gke-backup-dr |
| : : disaster recovery, CMEK : : | ||
| Storage & PVC | SSD, PV, PVC, | gke-storage |
| : : StorageClass, GCS FUSE : : | ||
| Reliability | PDB, health probe, | gke-reliability |
| : : liveness, readiness : : | ||
| Productionization | production readiness, | gke-productionize |
| : : productionize, : : | ||
| : : readiness scoring, : : | ||
| : : audit cluster : : | ||
| Manifest Generation | generate YAML, manifest | gke-manifest-generation |
| : : template, : : | ||
| : : securityContext probes, : : | ||
| : : resource limits : : |
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.
- 4d ago First seen · 95 lines · 4 tokens per session scan A 8562ee2b6bb2
gke-basics is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 4 tokens to every session and 1,083 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-09-19.
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atmos-container
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atmos-emulator
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Cloud Security & Container Hardening
AWS/Azure/GCP security auditing, container and Kubernetes hardening, Infrastructure as Code scanning, and cloud compliance assessment.