npx skills add ...
npx skills add google/skills --skill gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (`audit_cluster.sh`), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVisor`), enforcing Pod Security Standards (`restricted` labeling), and mounting Secret Manager secrets via CSI (`SecretProviderClass`). Use when auditing cluster security posture, isolating namespaces, applying pod security standards, setting up Workload Identity, or configuring network policies and secret volume mounts. Don't use for cluster-wide control plane security, RBAC hardening, Binary Authorization, Shielded Nodes, or enabling platform-level GKE add-ons (use gke-platform-security instead).
npx skills add google/skills --skill gke-workload-security
This skill provides workflows and best practices for securing GKE workloads. It covers security auditing, Identity and Access Management (Workload Identity), Network Security (Network Policies), and Node Security.
Assess the current security posture of your cluster using the provided audit script.
Prerequisites:
gcloud CLI authenticated.jq command-line JSON processor installed.Capabilities:
Command:
Workload Identity allows Kubernetes Service Accounts (KSAs) to impersonate Google Service Accounts (GSAs). This is the recommended method for workloads to access Google Cloud APIs.
Steps:
Create Namespace and KSA:
Bind KSA to GSA:
Annotate KSA:
Verify Example Pod: Use existing asset
assets/workload-identity-pod.yaml to test the configuration. Update the
<ksa-name> in the file first.
Control traffic flow between Pods using Network Policies. By default, all traffic is allowed.
Enable Network Policy Enforcement:
[!NOTE] If your cluster uses Dataplane V2 (
--enable-dataplane-v2), Network Policy enforcement is built-in and this step is not required (and may fail).
Apply Default Deny Policy: Isolate namespaces by denying all ingress and egress traffic by default.
Replace <target-namespace> with the namespace you want to isolate.
Run untrusted workloads in a sandbox for extra kernel isolation. (Note:
Enabling Shielded Nodes (--enable-shielded-nodes) and GKE Sandbox
(--enable-gke-sandbox) at the cluster control plane level are platform-level
actions covered in the gke-platform-security skill.)
Run a Sandboxed Pod: Add runtimeClassName: gvisor to your Pod spec:
Enforce security policies on namespaces using labels.
Enforce Restricted Profile:
[!NOTE] Using
latestensures you use the policies corresponding to the cluster's current version. You can pin it to a specific version (e.g.,v1.30) to lock down the namespace to policies of a specific release.
Mount secrets from Google Cloud Secret Manager directly as volumes in your pods.
Prerequisites: Secret Manager CSI driver must be enabled on the cluster.
Example SecretProviderClass:
Example Pod Spec excerpt:
If using GKE Dataplane V2, you can log allowed and denied connections.
Steps:
NetworkLogging custom resource.Example NetworkLogging Manifest:
This will log connection details to Cloud Logging.
baseline or restricted Pod Security Standards
on all non-system namespaces.