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 agentmods add skills/jpantsjoha/googlecloud-plugin/gkenpx skills add jpantsjoha/googlecloud-plugin --skill gkegit clone --depth 1 https://github.com/jpantsjoha/googlecloud-pluginWhat 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 | $0.00090 | $0.00706 |
| Opus 5 | $0.00045 | $0.00353 |
| Sonnet 5 | $0.00018 | $0.00141 |
| Haiku 4.5 | $0.00009 | $0.00071 |
Grade A, and why
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 2d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GKE — Google Kubernetes Engine
Run Kubernetes workloads with Google's managed control plane. Choose Autopilot (fully managed nodes) or Standard (you manage node pools).
Mode Selection
| Autopilot | Standard | |
|---|---|---|
| Node management | You | |
| Billing | Per pod resource | Per node |
| Best for | Ops-light teams, variable load | Fine-grained node control |
Core Patterns
Create an Autopilot cluster (recommended)
# Billable action — GKE charges per cluster + node resources
gcloud container clusters create-auto CLUSTER_NAME \
--region REGION \
--project PROJECT_ID
Get credentials
gcloud container clusters get-credentials CLUSTER_NAME \
--region REGION \
--project PROJECT_ID
Workload Identity (never use SA key files in pods)
# Annotate the Kubernetes SA to impersonate a GCP SA
kubectl annotate serviceaccount KSA_NAME \
iam.gke.io/gcp-service-account=GSA_EMAIL
# Bind the GCP SA
gcloud iam service-accounts add-iam-policy-binding GSA_EMAIL \
--role roles/iam.workloadIdentityUser \
--member "serviceAccount:PROJECT_ID.svc.id.goog[NAMESPACE/KSA_NAME]"
Safety Rules
- Always use Workload Identity — never mount SA key files into pods
- Enable Binary Authorization for production clusters
- Cost warning: GKE clusters incur cluster management fee + node costs
References
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 71 lines · 90 tokens per session scan A 2be34010924c
gke is a skill published in the GitHub repository jpantsjoha/googlecloud-plugin (4 stars, last pushed 25d ago), licensed MIT. It adds 90 tokens to every session and 706 once invoked, about $0.0005 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 2026-08-31.
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