rad-modules: Skill for Claude Code

.agent/skills/gke-application-modules/SKILL.md

gke-application-modules is a skill for Claude Code, Codex from techequitycloud/rad-modules. It costs 44 tokens per session (3,885 once invoked), scanned A, original, MPL-2.0.

A set of Terraform modules for creating Google Kubernetes Engine clusters and, in some configurations, installing a service mesh and the Bank of Anthos demonstration application. Kubernetes runs containerised applications across a cluster, while a service mesh manages communication between those applications.

In plain words
What is it for?
Use Bank_GKE for one GKE cluster with managed Cloud Service Mesh and Bank of Anthos, MC_Bank_GKE for a typical two-to-four-cluster multi-region setup, or Istio_GKE for one standard cluster with open-source Istio. The Istio setup does not automatically deploy the demo application.
Why use it?
It packages several Google Cloud deployment setups so a team can create single-cluster or multi-cluster environments with documented differences. It also makes clear when an application is deployed automatically and when it must be installed manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is techequitycloud/rad-modules's own configuration. It tells Claude Code and Codex how to work on rad-modules itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything rad-modules configures →

Reuse

Borrowing it

Nothing to install: this file belongs to techequitycloud/rad-modules. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/techequitycloud/rad-modules/main/.agent/skills/gke-application-modules/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/techequitycloud/rad-modules

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gke-application-modules

README.md
[![agentmods](https://agentmods.dev/badge/skills/techequitycloud/rad-modules/gke-application-modules/github.svg)](https://agentmods.dev/skills/techequitycloud/rad-modules/gke-application-modules)
Your own site
<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/gke-application-modules"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/gke-application-modules/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gke-application-modules

Your own site · 80×15
<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/gke-application-modules"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/gke-application-modules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,885 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.03885
Opus 5.5 $0.00018 $0.01554
Sonnet 5.5 $0.00009 $0.00777
Haiku 4.5 $0.00004 $0.00388

Measured 1mo ago against content hash 6315ff670304, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gke-application-modules scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

provisioner "local-exec" { /* curl | tar -xz | verify */ }
.agent/skills/gke-application-modules/SKILL.md · 225 lines

How it starts

The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GKE Application Modules

Three modules provision Google-native GKE clusters and install a full Kubernetes workload on top of them:

Module Clusters Service Mesh Workload
Bank_GKE 1 GKE (Autopilot or Standard) Cloud Service Mesh (managed) Bank of Anthos v0.6.10
MC_Bank_GKE N GKE (2–4 typical), multi-region CSM fleet-wide + MCI + MCS Bank of Anthos v0.6.10 across clusters
Istio_GKE 1 GKE Standard Open-source Istio (sidecar or ambient) None — deploy_application is inert; Bookinfo is deployed by hand per the lab guide

They all use provider-auth Pattern B (impersonated Google provider in provider-auth.tf) and share the same main.tf boilerplate described in the module-conventions skill.

File Decomposition

modules/Bank_GKE/          modules/MC_Bank_GKE/        modules/Istio_GKE/
├── main.tf                ├── main.tf                 ├── main.tf
├── variables.tf           ├── variables.tf            ├── variables.tf
├── versions.tf            ├── versions.tf             ├── versions.tf
├── provider-auth.tf       ├── provider-auth.tf        ├── provider-auth.tf
├── network.tf             ├── network.tf              ├── network.tf
├── gke.tf                 ├── gke.tf                  ├── gke.tf
├── hub.tf                 ├── hub.tf                  ├── istiosidecar.tf
├── asm.tf                 ├── asm.tf                  ├── istioambient.tf
├── deploy.tf              ├── mcs.tf                  ├── outputs.tf
├── glb.tf                 ├── glb.tf                  └── (no deploy.tf — inline in istio*.tf)
├── monitoring.tf          ├── deploy.tf
├── outputs.tf             ├── manifests.tf
├── templates/*.tpl        ├── outputs.tf
└── ...                    └── templates/*.tpl

templates/*.yaml.tpl files hold Kubernetes manifests with variable substitution. In MC_Bank_GKE they are rendered by manifests.tf via templatefile(...) and written out to manifests/, so that directory is generated build output rather than hand-authored source — do not edit it. Istio_GKE ships both directories but references neither from any .tf file: its Kubernetes objects are applied inline from heredocs in istiosidecar.tf / istioambient.tf, leaving templates/ and manifests/ there as unused leftovers.

Read the full file on GitHub · 225 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 225 lines · 44 tokens per session scan A 6315ff670304

Subscribe to this mod's changes

gke-application-modules is a skill published in the GitHub repository techequitycloud/rad-modules (2 stars, last pushed yesterday), licensed MPL-2.0. It adds 44 tokens to every session and 3,885 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

openshell-cli

Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, profile management, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger…

NVIDIA/OpenShell · 134 tokens

azd-deployment

Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.

sickn33/agentic-awesome-skills · 29 tokens

cdf-orchestration-setup

Use when the user asks to deploy, install, reinstall, redeploy, upgrade, or connect to the CDF Orchestration Airflow controller. Owns the end-to-end deploy sequence and runs the cdf-orchestration-preflight audit first. Covers make setup, controller image builds, Helm installation, controller connection…

NVIDIA/skills · 105 tokens

langbot-deploy

Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…

langbot-app/LangBot · 104 tokens

compute-env-setup

Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…

UnicomAI/wanwu · 134 tokens

compute-env-setup

Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup.

companion-inc/feynman · 45 tokens