gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces.
Skill by googleOfficial
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About
Use cases: devops, security
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/gke-workload-security
What's inside
- Skill name
gke-workload-security- Description
- Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (`audit_cluster.sh`), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVisor`), enforcing Pod Security Standards (`restricted` labeling) and pod securityContext, and mounting Secret Manager secrets via CSI (`SecretProviderClass`). Use when auditing workload security posture, isolating namespaces, applying pod security standards, or configuring network policies and secret volume mounts. Don't use for Workload Identity (use gke-workload-identity), cluster-wide control plane security, RBAC hardening, Binary Authorization, Shielded Nodes, or enabling platform-level GKE add-ons (use gke-platform-security instead).
- License
- Apache-2.0
- Metadata
- version: 1.0.2 · category: Security
- Instructions
- 236 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (5)
- SKILL.md
- default-deny-netpol.yaml · assets/
- workload-identity-pod.yaml · assets/
- attribution.md · references/
- audit_cluster.sh · scripts/
SKILL.md (first lines)
# GKE Workload Security
> **Routing Note:** For Workload Identity KSA/GSA bindings, open `gke-workload-identity/SKILL.md`. For cluster-level security flags (`--database-encryption-key`, `--security-posture`, RBAC, Shielded Nodes, Binary Authorization), open `gke-platform-security/SKILL.md`.
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.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:gke-workload-security)"`
and append `agent-skills/1.0 (skill:gke-workload-security)` to `User-Agent` headers.
## Workflows
### 1. Security Audit
Assess the current security posture of your cluster using the provided audit
script.
**Prerequisites:**
- `gcloud` CLI authenticated.
- `jq` command-line JSON processor installed.
**Capabilities:**
- Checks for Workload Identity.
- Verifies Network Policy is enabled.
- Checks if Shielded Nodes are enabled.
- Checks if Binary Authorization is enabled.
- Checks for Private Cluster configuration.
**Command:**
```bash
scripts/audit_cluster.sh <cluster-name> <region> <project-id>
```
### 2. Configure Workload Identity
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:**
1. **Create Namespace and KSA:**
```bash
kubectl create namespace workload-identity-test-ns
kubectl create serviceaccount <ksa-name> \
--namespace workload-identity-test-ns
```
2. **Bind KSA to GSA:**
```bash
gcloud iam service-accounts add-iam-policy-binding <gsa-name>@<project-id>.iam.gserviceaccount.com \
--role roles/iam.workloadIdentityUser \
--member "serviceAccount:<project-id>.svc.id.goog[workload-identity-test-ns/<ksa-name>]"
```
3. **Annotate KSA:**
```bash
kubectl annotate serviceaccount <ksa-name> \
--namespace workload-identity-test-ns \
iam.gke.io/gcp-service-account=<gsa-name>@<project-id>.iam.gserviceaccount.com
```
4. **Verify Example Pod:** Use existing asset
`assets/workload-identity-pod.yaml` to test the configuration. Update the
`<ksa-name>` in the file first.
```bash
kubectl apply -f assets/workload-identity-pod.yaml -n workload-identity-test-ns
```
### 3. Implement Network Policies
Control traffic flow between Pods using Network Policies. By default, all
traffic is allowed.
**Enable Network Policy Enforcement:**
```bash
gcloud container clusters update <cluster-name> \
--update-addons=NetworkPolicy=ENABLED \
--region <region>
```
> [!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.**
```bash
kubectl apply -f assets/default-deny-netpol.yaml -n <target-namespace>
```
### 4. GKE Sandbox (gVisor) Pod Isolation
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:
```yaml
apiVersion: v1From google/skills, Apache-2.0.
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Signals
- Stars
- 21,542
- Forks
- 1,821
- Open issues
- 21
- Last commit (this folder)
- Oct 19, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.2
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
gke-workload-security skill. Agent Mart. https://agentmart.dev/skills/google-gke-workload-security (last updated 2026-10-24)