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.
curl -O https://raw.githubusercontent.com/techequitycloud/rad-modules/main/.agent/skills/attached-cluster-modules/SKILL.mdgit clone --depth 1 https://github.com/techequitycloud/rad-modulesWrote 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.
[](https://agentmods.dev/skills/techequitycloud/rad-modules/attached-cluster-modules)<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/attached-cluster-modules"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/attached-cluster-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.
<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/attached-cluster-modules"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/attached-cluster-modules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.02273 |
| Opus 5.5 | $0.00016 | $0.00909 |
| Sonnet 5.5 | $0.00008 | $0.00455 |
| Haiku 4.5 | $0.00004 | $0.00227 |
Grade A, and why
attached-cluster-modules scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attached Cluster Modules
modules/AKS_GKE and modules/EKS_GKE share a nearly identical three-phase pattern: provision a Kubernetes cluster in another cloud, bootstrap the GKE Connect agent onto it, then register it as a GKE Attached Cluster so it shows up in the GKE Fleet and the Google Cloud Console.
Shared Shape
Both modules consist of:
modules/AKS_GKE/ (or EKS_GKE/)
├── main.tf # Foreign-cloud cluster + helm bootstrap + google_container_attached_cluster
├── variables.tf # Standard vars + foreign-cloud creds + k8s_version/platform_version
├── provider.tf # Pattern A (direct providers, no impersonation)
├── vpc.tf / iam.tf # (EKS_GKE only — AWS needs an explicit VPC + IAM roles; AKS bundles these)
├── modules/
│ ├── attached-install-manifest/ # Helm install of the GKE Connect bootstrap
│ └── attached-install-mesh/ # Optional: runs asmcli to install ASM (NOT invoked by main.tf)
├── outputs.tf # deployment_id (local.random_id) + project_id (local.project_id)
├── tests/ # module test fixtures
└── README.md # deep dive lives at docs/modules/<Module>.md, not in the module directory
The Three Phases
Phase 1 — Foreign-Cloud Cluster
AKS_GKE (azurerm):
resource "azurerm_resource_group" "aks" { ... }
resource "azurerm_kubernetes_cluster" "aks" {
oidc_issuer_enabled = true # required for OIDC federation
identity { type = "SystemAssigned" } # managed identity
default_node_pool { node_count, vm_size, ... }
}
resource "azurerm_role_assignment" "aks_network_contributor" { ... }
EKS_GKE (aws):
resource "aws_vpc" "eks" { ... } # in vpc.tf
resource "aws_subnet" "public" / "private" { ... }
resource "aws_iam_role" "eks" / "node" { ... } # in iam.tf
resource "aws_eks_cluster" "eks" { version = var.k8s_version ... }
resource "aws_eks_node_group" "node" { scaling_config { ... } }
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.
- 1mo ago First seen · 183 lines · 41 tokens per session scan A 266bb0b2cc17
attached-cluster-modules is a skill published in the GitHub repository techequitycloud/rad-modules (2 stars, last pushed yesterday), licensed MPL-2.0. It adds 41 tokens to every session and 2,273 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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…
azd-deployment
Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
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…
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…
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…
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.