>- 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).
npx skills add https://github.com/google/skills --skill 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
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
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.
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:
system:authenticatedor system:unauthenticated.
resourceType="pods", namespace="...") (or kubectl auth can-i --list
--as=<user>`).
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
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
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.
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-<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.
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.
Service Accounts (roles/iam.workloadIdentityUser), refer to the
gke-workload-security skill.
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/kubernetes-engine/docs/how-to/secret-manager)
- [Binary Authorization on GKE](https://cloud.google.com/binary-authorization/docs/getting-started-gke)
- [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/concepts/sandbox)
This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms.
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
Coordinate multi-layer security scanning and hardening across application, infrastructure, and compliance controls.
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.
Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.
Comprehensive AWS security posture assessment using AWS CLI and security best practices
Take google/gke-platform-security from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.