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-platform-securitygit 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-platform-security)<a href="https://agentmods.dev/skills/gke-labs/kube-agents/gke-platform-security"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-platform-security/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-platform-security"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/gke-platform-security.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 | $0.00151 | $0.02129 |
| Opus 5 | $0.00076 | $0.01064 |
| Sonnet 5 | $0.00030 | $0.00426 |
| Haiku 4.5 | $0.00015 | $0.00213 |
Grade A, and why
gke-platform-security 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.
This is a copy
100% identical to gke-platform-security — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GKE Platform Security
This reference covers platform-level security hardening and cluster
configuration for Google Kubernetes Engine (GKE). For workload-level security
controls (such as Workload Identity Service Account bindings,
SecretProviderClass volume mounts, Network Policies, and Pod Security
Standards), refer to the gke-workload-security skill.
MCP Tools:
gke:get_cluster,k8s:check_k8s_auth,k8s:get_k8s_resource,k8s:apply_k8s_manifest,gke:update_cluster
Golden Path Security Defaults
| Setting | Golden Path Value | Day-0/1 | Notes |
|---|---|---|---|
workloadIdentityConfig.workloadPool |
<PROJECT>.svc.id.goog |
Day-0 | Workload Identity Federation for cluster pods |
secretManagerConfig.enabled |
true |
Day-1 | Google Secret Manager cluster add-on integration |
secretManagerConfig.rotationConfig |
enabled: true, rotationInterval: 120s |
Day-1 | Automatic secret rotation at the cluster level |
rbacBindingConfig.enableInsecureBindingSystemAuthenticated |
false |
Day-0 | Blocks legacy system:authenticated bindings |
rbacBindingConfig.enableInsecureBindingSystemUnauthenticated |
false |
Day-0 | Blocks legacy system:unauthenticated bindings |
nodeConfig.shieldedInstanceConfig.enableSecureBoot |
true |
Day-0 | Verifiable boot integrity |
nodeConfig.shieldedInstanceConfig.enableIntegrityMonitoring |
true |
Day-0 | Runtime integrity checks |
nodeConfig.workloadMetadataConfig.mode |
GKE_METADATA |
Day-0 | Blocks legacy metadata API, enforces Workload Identity |
| Private cluster + Dataplane V2 settings | See the gke-networking skill |
Day-0 | Private nodes, private endpoint enforcement, ADVANCED_DATAPATH |
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.
- 12d ago First seen · 200 lines · 151 tokens per session scan A 45373badf611
gke-platform-security is a skill published in the GitHub repository gke-labs/kube-agents (54 stars, last pushed today), licensed Apache-2.0. It adds 151 tokens to every session and 2,129 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gke-platform-security, differing in 6 lines, and is treated as a copy.
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