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 gke-labs/kube-agents --skill gke-cost-optimizationgit clone --depth 1 https://github.com/gke-labs/kube-agentsWrote 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/gke-labs/kube-agents/gke-cost-optimization)<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-cost-optimization"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-cost-optimization/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/gke-labs/kube-agents/gke-cost-optimization"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-cost-optimization.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 | $0.00088 | $0.02587 |
| Opus 5.5 | $0.00035 | $0.01035 |
| Sonnet 5.5 | $0.00018 | $0.00517 |
| Haiku 4.5 | $0.00009 | $0.00259 |
Grade A, and why
gke-cost-optimization 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GKE Cost Optimization
This reference covers strategies and workflows for reducing Google Kubernetes Engine (GKE) costs while maintaining a secure and reliable posture.
MCP Tools:
get_k8s_resource,describe_k8s_resource,get_clusterA change goes out as a pull request to the GitOps repository, never as a write from here: Kubernetes objects as YAML through
gke-manifest-generation, cluster settings and other Google Cloud resources as Config Connector YAML throughgcp-config-connector, opened withsubmit-suggestion. Each profile's config offers only thegkeMCP server's read tools, and the broker refuseskubectlandgcloudwrites.
Golden Path Cost Features
The golden path already includes cost-optimizing settings:
| Setting | Value | Impact |
|---|---|---|
autoscalingProfile |
OPTIMIZE_UTILIZATION |
Aggressive node |
| : : : scale-down reduces idle : | ||
| : : : compute : | ||
verticalPodAutoscaling |
enabled |
VPA recommendations |
| : : : prevent : | ||
| : : : over-provisioning : | ||
| Autopilot pricing | Pay per pod request | No charge for unused |
| : : : node capacity : | ||
| Node Auto Provisioning | enabled | Right-sized node pools |
| : : : created automatically : |
Workflows & Optimization Strategies
1. Prerequisite: Cost Allocation & Monitoring
To enable GKE cost allocation (--enable-cost-allocation) for billing tracking
across namespaces and labels, inspect live cluster utilization (kubectl top),
or run historical cost breakdown queries in BigQuery (bq), use the
gke-cost-analysis skill. Once tracking is active and waste is diagnosed,
apply the optimization workflows below.
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 Changed · -3 lines a9258982c722
- 11d ago Changed · +16 lines 5dec36b100f3
- 1mo ago First seen · 253 lines · 88 tokens per session scan A 4c493aaae302
gke-cost-optimization is a skill published in the GitHub repository gke-labs/kube-agents (116 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 2,587 once invoked, about $0.0004 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 2026-08-30.
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