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gcp-deployment

gcp-deployment is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 24 tokens per session (658 once invoked), scanned A, original, MIT.

A deployment guide for Google Cloud Platform, Google’s collection of hosted services for running applications. It covers services such as Cloud Run, App Engine, and Compute Engine through a defined deployment process.

In plain words
What is it for?
Use it when deploying an application to Google Cloud. It helps prepare builds, configure the Google Cloud project, check required resources, and publish the application.
Why use it?
It provides a consistent sequence for authentication, building, preparing cloud resources, and deploying an application. This reduces missed setup steps and permission or configuration errors.

Skill for Claude CodeCodex

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

not rated 11repo 2d ago A scan 24 tokens original MIT

Good fit Use it when deploying an application to Google Cloud. It helps prepare builds, configure the Google Cloud project, check required resources, and publish the application.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/gcp-deployment
View source ↗ porcupine-md/jonggrang jonggrang.dev
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 porcupine-md/jonggrang --skill gcp-deployment
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

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 gcp-deployment

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/gcp-deployment/github.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/gcp-deployment)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/gcp-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/gcp-deployment/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 gcp-deployment

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/gcp-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/gcp-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 658 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 $0.00024 $0.00658
Opus 5 $0.00012 $0.00329
Sonnet 5 $0.00005 $0.00132
Haiku 4.5 $0.00002 $0.00066

Measured 11d ago against content hash 52da54baf136, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gcp-deployment 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 11d 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.

2. Cloud Run: Check the returned service URL via `curl` and inspect `gcloud logging read "resource.type=cloud_run_revision AND resource.labels.service_name=<SERVICE_NAME>"` if it fails.
skills/library/deploy/gcp-deployment/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

Deploying {{project_name}} ({{project_type}}) to Google Cloud Platform (GCP). You will follow a strict 6-phase Deployment Lifecycle Contract.

Instructions

Execute the following phases in order:

Phase 1: Authentication

  1. Ensure the GOOGLE_APPLICATION_CREDENTIALS environment variable is set to a valid service account key JSON file, or configure Workload Identity Federation (if inside CI/CD).
  2. Authenticate the gcloud CLI: gcloud auth activate-service-account --key-file=$GOOGLE_APPLICATION_CREDENTIALS.
  3. Set the default project: gcloud config set project <PROJECT_ID>.

Phase 2: Build

  1. Prepare the artifacts for deployment.
  2. If Cloud Run or GKE: build your Docker image (e.g., docker build -t gcr.io/<PROJECT_ID>/<APP_NAME> . or gcloud builds submit --tag gcr.io/<PROJECT_ID>/<APP_NAME>).
  3. If App Engine: prepare app.yaml.
  4. If Static Site (Cloud Storage): run npm run build.

Phase 3: Install / Provisioning

  1. Ensure the target GCP resources (Cloud Run services, Buckets, Compute Instances) exist and you have permissions to write to them.
  2. If Cloud Storage: gsutil ls gs://<bucket-name>.
  3. Enable necessary APIs (e.g., gcloud services enable run.googleapis.com if using Cloud Run).

Phase 4: Deploy

  1. Ship the artifact to GCP.
  2. Cloud Run: gcloud run deploy <SERVICE_NAME> --image gcr.io/<PROJECT_ID>/<APP_NAME> --region <REGION> --platform managed.
  3. App Engine: gcloud app deploy.
  4. Cloud Storage: gsutil rsync -R dist/ gs://<bucket-name>.

Phase 5: Checking

  1. Verify the deployment was successful.
  2. Cloud Run: Check the returned service URL via curl and inspect gcloud logging read "resource.type=cloud_run_revision AND resource.labels.service_name=<SERVICE_NAME>" if it fails.
  3. App Engine: Check the target URL.
  4. Ensure the service returns HTTP 200.

Phase 6: Update / Rollback

  1. If Phase 5 fails, immediately initiate a rollback.
  2. Cloud Run: Route 100% of traffic to the previous revision (gcloud run services update-traffic <SERVICE_NAME> --to-revisions=<PREVIOUS_REVISION_NAME>=100 --region <REGION>).
  3. App Engine: Roll back traffic to an older version via gcloud app services set-traffic.
  4. Note the failure in the progress log.

Read the full file on GitHub · 57 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. 11d ago First seen · 57 lines · 24 tokens per session scan A 52da54baf136

Subscribe to this mod's changes

gcp-deployment is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 658 once invoked, about $0.0001 per session on Opus 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 2026-08-30.

CloudDevOps and cloud
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