cloudrun-app-deploy

cloudrun-app-deploy is a skill for Claude Code, Codex from techequitycloud/rad-modules. It costs 50 tokens per session (14,735 once invoked), scanned A, original, MPL-2.0.

A deployment procedure for running several Google Cloud Run application modules from a partner-modules repository on an existing Google Cloud platform.

In plain words
What is it for?
Use it to choose applications, create deployment settings, stagger OpenTofu deployments, verify them with Playwright, and scale them to zero afterward.
Why use it?
It coordinates checks, configuration, deployment timing, browser tests, and cleanup so shared Google Cloud permissions and resources do not conflict.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to choose applications, create deployment settings, stagger OpenTofu deployments, verify them with Playwright, and scale them to zero afterward.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add techequitycloud/rad-modules --skill auto-skill-cloudrun-app-deploy
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 cloudrun-app-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy/github.svg)](https://agentmods.dev/skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy)
Your own site
<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy/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 cloudrun-app-deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/auto-skill-cloudrun-app-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14,735 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 $0.00050 $0.14735
Opus 5.5 $0.00020 $0.05894
Sonnet 5.5 $0.00010 $0.02947
Haiku 4.5 $0.00005 $0.01473

Measured 2mo ago against content hash 7be1302ce3c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cloudrun-app-deploy 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 2mo 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.

Then verify with curl:
.qwen/skills/auto-skill-cloudrun-app-deploy/SKILL.md · 1,312 lines

How it starts

The opening of the file, as written. The whole thing — 1,312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Concurrent Cloud Run Application Deployment

Purpose

Deploy one or more Cloud Run application modules from the partner-modules repository onto an existing Services_GCP platform. When deploying multiple apps concurrently, staggers the tofu apply starts by 2 minutes to avoid shared-project IAM-policy etag races (each app grants ~12-19 SA roles early in apply — two simultaneous grants collide).

Pre-flight checks

1. Platform must exist

Every app module binds to Services_GCP via tenant_id (this variable was named tenant_deployment_id before 2026-08-04 — rename it everywhere it still appears below). Confirm the platform is healthy before deploying apps:

gcloud compute networks list --project=$P --format='value(name)'
gcloud container clusters list --project=$P --region=$R --format='value(name,status)'
gcloud sql instances list --project=$P --format='value(name,state,databaseVersion)'

The VPC, GKE cluster (RUNNING), and any SQL instances the apps need must be present and healthy.

2. Pick the right apps — prebuilt vs custom-build

Prebuilt apps (image pulled from Docker Hub / GHCR) deploy in 3-5 min with no Cloud Build. Custom-build apps (Cloud Build from a source registry) take 8-15 min and consume build minutes + a build worker slot.

Prebuilt examples: UptimeKuma, Changedetection, Matomo, SnipeIT, StirlingPDF (set container_image_source = "prebuilt" in tfvars). Not Gitea — its variables.tf defaults to "custom" and warns "Prebuilt will not work on Cloud Run (no $(VAR) env interpolation)"; see the Gitea gotcha below. Appsmith_CloudRun and LobeChat_CloudRun have been retired from partner-modules and are no longer deployable.

Check whether an app is prebuilt-capable:

grep "container_image_source" modules/<App>_CloudRun/variables.tf
  • default = "prebuilt" → prebuilt by default (no extra config needed)
  • default = "custom" with OPTIONS=prebuilt,custom → set container_image_source = "prebuilt" in tfvars
  • No variable → the wiring file handles it via the Common module

Read the full file on GitHub · 1,312 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. 2mo ago First seen · 1,312 lines · 50 tokens per session scan A 7be1302ce3c8

Subscribe to this mod's changes

cloudrun-app-deploy is a skill published in the GitHub repository techequitycloud/rad-modules (2 stars, last pushed 2d ago), licensed MPL-2.0. It adds 50 tokens to every session and 14,735 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.

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