SkillAgentSearch skills...

gke-platform-security

Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles,…

Install / Use

npx skills add google/skills --skill gke-platform-security

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

97/100

Category

Security

Supported Platforms

Universal

Our assessment of gke-platform-security

gke-platform-security scores 97/100 on our quality scale, 76th of 544 Security skills we index (top 14%).

Its SKILL.md is 9.6 KB long, well organised into 19 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.

With 20,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so gke-platform-security is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

gke-platform-security compared with similar skills

All 4 of these similar skills score higher than gke-platform-security; compare them before choosing.

SkillScoreStarsUpdatedFormat
gke-platform-security (this skill)by google9720.3k2d agoSKILL.md
algorithmic-artby anthropics100177.9k3d agoSKILL.md
pptxby anthropics100177.9k3d agoSKILL.md
designby nextlevelbuilder100130.2k4d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k4d agoSKILL.md

Frequently asked questions

How do I install gke-platform-security?
Run npx skills add google/skills --skill gke-platform-security. The install tabs above show the steps for each supported agent.
Which AI agents does gke-platform-security work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is gke-platform-security safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is gke-platform-security still maintained?
The repository was last updated 2 days ago, so gke-platform-security is actively maintained.

name: gke-platform-security description: >- Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for workload-level security (Workload Identity, SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security instead). metadata: version: "1.0.0" category: Security

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

Secret Manager Add-on Enablement

The golden path enables Secret Manager at the cluster level with automatic secret rotation.

# Verify Secret Manager is enabled on cluster
gcloud container clusters describe <CLUSTER_NAME> --region <REGION> \
  --format="value(secretManagerConfig.enabled)" \
  --quiet

# Enable if not already (Day-1 change)
gcloud container clusters update <CLUSTER_NAME> --region <REGION> \
  --enable-secret-manager \
  --secret-manager-rotation-interval=120s \
  --quiet

Note: For configuring SecretProviderClass manifests and mounting secrets as volumes inside application deployments, see the gke-workload-security skill.

RBAC Hardening

The golden path disables insecure legacy RBAC bindings that grant broad access to system:authenticated and system:unauthenticated groups.

# Verify insecure bindings are disabled
gcloud container clusters describe <CLUSTER_NAME> --region <REGION> \
  --format="yaml(rbacBindingConfig)" \
  --quiet

Best practices for RBAC:

  • Use namespace-scoped Roles over cluster-wide ClusterRoles.
  • Bind to specific Groups or ServiceAccounts, never to system:authenticated or system:unauthenticated.
  • Audit permissions via MCP: k8s:check_k8s_auth(parent="...", verb="list", resourceType="pods", namespace="...") (or kubectl auth can-i --list --as=<user>).
  • Review bindings via MCP: k8s:get_k8s_resource(parent="...", resourceType="clusterrolebinding") (or kubectl get clusterrolebindings,rolebindings --all-namespaces).

See the gke-multitenancy skill for enterprise RBAC planning and https://docs.cloud.google.com/kubernetes-engine/docs/best-practices/rbac.md.txt

Binary Authorization

Not enabled in golden path by default but recommended for enforcing production image provenance across the cluster:

# Enable Binary Authorization
gcloud container clusters update <CLUSTER_NAME> --region <REGION> \
  --binauthz-evaluation-mode=PROJECT_SINGLETON_POLICY_ENFORCE \
  --quiet

Shielded Nodes & GKE Sandbox Enablement

Enabling verifiable node boot integrity and kernel isolation features at the cluster level:

# Enable Shielded Nodes on an existing cluster
gcloud container clusters update <CLUSTER_NAME> --region <REGION> \
  --enable-shielded-nodes \
  --quiet

# Enable GKE Sandbox (gVisor) runtime on an existing cluster
gcloud container clusters update <CLUSTER_NAME> --region <REGION> \
  --enable-gke-sandbox \
  --quiet

Note: To run workloads inside the gVisor sandbox, specify runtimeClassName: gvisor in your Pod specs as detailed in the gke-workload-security skill.

Common IAM Roles

The five most common predefined IAM roles for GKE platform and cluster access:

| Role | Purpose | When to Use | | ------------------------------- | ------------------- | -------------------- | | roles/container.admin | Full control over | Platform team admins | : : clusters and : managing cluster : : : Kubernetes : lifecycle : : : resources : : | roles/container.clusterAdmin | Manage clusters but | Cluster operators | : : not project-level : who create/delete : : : IAM : clusters : | roles/container.developer | Deploy workloads | Application | : : (pods, services, : developers deploying : : : deployments) : to existing clusters : | roles/container.viewer | Read-only access to | Monitoring, | : : clusters and : auditing, or : : : Kubernetes : read-only dashboards : : : resources : : | roles/container.clusterViewer | List and get | CI/CD pipelines that | : : cluster details : need cluster : : : only : metadata :

Principle of least privilege: Start with roles/container.viewer or roles/container.developer and escalate only as needed. Avoid granting roles/container.admin broadly across teams.

Service Accounts & Agents

  • GKE Service Agent (service-<PROJECT_NUMBER>@container-engine-robot.iam.gserviceaccount.com): Automatically created. Manages nodes, networking, and cluster operations on your behalf. Do not remove or modify its permissions.
  • Node Service Account: By default, nodes use the Compute Engine default service account. For production platforms, create a dedicated Google Service Account with minimal required permissions (roles/monitoring.metricWriter, roles/logging.logWriter) and assign it at node pool creation time.
  • Workload Identity: For binding Google Service Accounts to Kubernetes Service Accounts (roles/iam.workloadIdentityUser), refer to the gke-workload-security skill.

Cross-Service Authentication Patterns

Common project-level IAM policy binding patterns for granting backend Google Service Accounts (GSAs) access to external Google Cloud services before linking via Workload Identity:

# Grant a GSA access to Cloud Storage objects
gcloud projects add-iam-policy-binding <PROJECT_ID> \
  --member "serviceAccount:<GSA_NAME>@<PROJECT_ID>.iam.gserviceaccount.com" \
  --role "roles/storage.objectViewer" \
  --quiet

# Grant a GSA access to Cloud SQL databases
gcloud projects add-iam-policy-binding <PROJECT_ID> \
  --member "serviceAccount:<GSA_NAME>@<PROJECT_ID>.iam.gserviceaccount.com" \
  --role "roles/cloudsql.client" \
  --quiet

# Grant a GSA access to Pub/Sub subscriptions
gcloud projects add-iam-policy-binding <PROJECT_ID> \
  --member "serviceAccount:<GSA_NAME>@<PROJECT_ID>.iam.gserviceaccount.com" \
  --role "roles/pubsub.subscriber" \
  --quiet

## Resources

- [GKE Cluster Hardening Guide](https://cloud.google.com/kubernetes-engine/docs/how-to/hardening-your-cluster)
- [GKE RBAC Best Practices](https://cloud.google.com/kubernetes-engine/docs/best-practices/rbac)
- [Secret Manager Add-on for GKE](https://cloud.google.com/secret-manager/docs/secret-manager-managed-csi-component)
- [Binary Authorization on GKE](https://cloud.google.com/binary-authorization/docs/setting-up)
- [Shielded GKE Nodes](https://cloud.google.com/kubernetes-engine/docs/how-to/shielded-gke-nodes)
- [GKE Sandbox (gVisor)](https://cloud.google.com/kubernetes-engine/docs/how-to/sandbox-pods)

Related Skills

View on GitHub
GitHub Stars20.3k
CategorySecurity
Updated2d ago
Forks1.7k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions