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 BagelHole/DevOps-Security-Agent-Skills --skill gcp-gkegit clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-SkillsWrote 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/bagelhole/devops-security-agent-skills/gcp-gke)<a href="https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/gcp-gke"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/gcp-gke/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/bagelhole/devops-security-agent-skills/gcp-gke"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/gcp-gke.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.02480 |
| Opus 5 | $0.00015 | $0.01240 |
| Sonnet 5 | $0.00006 | $0.00496 |
| Haiku 4.5 | $0.00003 | $0.00248 |
Grade A, and why
gcp-gke 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 8d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Kubernetes Engine (GKE)
Deploy, operate, and scale managed Kubernetes clusters on Google Cloud Platform.
When to Use
- Running containerized microservices at scale with automatic scaling and healing
- Workloads requiring fine-grained orchestration, service mesh, or custom scheduling
- Teams already invested in Kubernetes tooling (Helm, Argo CD, Flux)
- When Cloud Run's request-based model does not fit (long-running, stateful workloads)
Prerequisites
- Google Cloud SDK (
gcloud) andkubectlinstalled - APIs enabled: Kubernetes Engine, Compute Engine
- IAM role
roles/container.adminfor cluster management
gcloud services enable container.googleapis.com compute.googleapis.com
gcloud components install kubectl
Standard vs Autopilot
| Feature | Standard | Autopilot |
|---|---|---|
| Node management | You manage node pools | Google manages nodes |
| Pricing | Pay per node (VM) | Pay per pod resource request |
| GPU/TPU | Full support | Supported (with limits) |
| DaemonSets | Allowed | Restricted |
| Best for | Full control, specialized HW | Hands-off, cost-optimized |
Create a Standard Cluster
gcloud container clusters create prod-cluster \
--region=us-central1 --num-nodes=2 \
--machine-type=e2-standard-4 --disk-size=100 \
--enable-autoscaling --min-nodes=1 --max-nodes=5 \
--enable-autorepair --enable-autoupgrade \
--release-channel=regular \
--workload-pool=${PROJECT_ID}.svc.id.goog \
--enable-ip-alias --enable-network-policy \
--enable-shielded-nodes \
--logging=SYSTEM,WORKLOAD --monitoring=SYSTEM,WORKLOAD \
--labels=env=production,team=platform
gcloud container clusters get-credentials prod-cluster --region=us-central1
Create an Autopilot Cluster
gcloud container clusters create-auto autopilot-prod \
--region=us-central1 --release-channel=regular \
--workload-pool=${PROJECT_ID}.svc.id.goog \
--network=my-vpc --subnetwork=gke-subnet
Node Pools
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.
- 8d ago First seen · 292 lines · 31 tokens per session scan A 82a7dcf45ef9
gcp-gke is a skill published in the GitHub repository BagelHole/DevOps-Security-Agent-Skills (1,084 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 2,480 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
ecs
AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.
eks
AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.
cis-aws-compute-3.12
Ensure Amazon ECS task definitions are tagged.
cis-aws-compute-3.10
Ensure Amazon ECS services are tagged.
cis-aws-compute-3.11
Ensure Amazon ECS clusters are tagged.
agentic-eks-bootstrap
Bootstrap an AWS EKS cluster optimized for Agentic AI workloads — Karpenter v1.2+ GPU node pools, EKS Auto Mode, Kubernetes 1.32+ with DRA 1.35 GA, VPC CNI, GPU Operator, and baseline observability. Use when starting a new EKS cluster that will host vLLM, Inference Gateway, Langfuse, or Kagent.