Home / gke-labs / kube-agents · agents/cluster/skills/gke-workload-security/SKILL.md · GitHub

gke-workload-security skillA

gke-workload-security is agent-read markdown (skill) from gke-labs/kube-agents: Workflows for auditing and hardening the security of GKE workloads..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 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.

## Workflows

### 1. Security Audit

Assess the current security posture of your cluster using the provided audit
script.

**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
…

Read the whole file at its exact version.

How to install

Latest version
mdr add gke-labs/kube-agents/gke-workload-security@git:20260908.e4edc3b
Exact content
mdr add gke-labs/kube-agents/gke-workload-security@sha256:f3459cd161029120

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260908.e4edc3b latest2026-09-08 e4edc3b 7,114 BA view · diff
git:20260728.aca5b5c2026-07-28 aca5b5c 5,861 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7114 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

gke-labs/kube-agents · 64 stars · license Apache-2.0 · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cqaztyjekg7eovle
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-workload-security
GET https://markdownregistry.com/api/v1/blob/f3459cd161029120508e26ac92214c88544bf70d8216a1718d8bc4ea8de27c04

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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