A procedure for deploying containerized web apps, APIs, and agents to Google Cloud Run, a Google service that runs containers without managing servers and can scale down when idle. It covers registries, identities, secrets, deployment commands, and continuous delivery.

Use it to publish containers with gcloud, reviewable service manifests, or Terraform, using Artifact Registry, Secret Manager, and dedicated runtime identities.

It provides a defined path from a container image to a running service while addressing deployment settings and access control.

cloud-run — Skill by fmind

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.

agentmods

npx agentmods add skills/fmind/dotfiles/cloud-run

Any agent

npx skills add fmind/dotfiles --skill cloud-run

Clone the repo

git clone --depth 1 https://github.com/fmind/dotfiles

Made for: Claude Code, Codex.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,703 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00028	$0.01703
Opus 5	$0.00014	$0.00851
Sonnet 5	$0.00006	$0.00341
Haiku 4.5	$0.00003	$0.00170

Measured 2d ago against content hash 0527a54710c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cloud-run 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 2d 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.

skills/cloud-run/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cloud Run Deployment Standard

Canonical path from a container image to a running GCP service: Cloud Run is the default deploy target for web apps, APIs, and ADK agents — serverless containers, scale-to-zero, per-request billing. The image comes from the containerize skill (ko for Go, Dockerfile for Python); this skill covers registry, identity, deploy, and CD.

1. Deployment Ladder

gcloud run deploy (default): one command, ideal for a single service iterated from the CLI.
Declarative manifest: service.yaml applied with gcloud run services replace — reviewable in PRs once settings accumulate (scaling, secrets, resources).
Full IaC: google_cloud_run_v2_service in the terraform-stack skill — when the service is one resource among many (domains, IAM, schedulers).

2. One-Time Project Setup

gcloud services enable run.googleapis.com artifactregistry.googleapis.com iamcredentials.googleapis.com
gcloud artifacts repositories create <slug> --repository-format=docker --location=<region>
gcloud iam service-accounts create <slug>-runtime   # runtime identity, least privilege

Runtime identity: always deploy with a dedicated service account; grant it only what the app reads (e.g. roles/secretmanager.secretAccessor on specific secrets) — never run on the default compute SA.
CI identity (keyless): create a Workload Identity Federation pool + provider once per project, then a deployer SA that GitHub Actions impersonates via OIDC — no exported keys:

gcloud iam workload-identity-pools create github --location=global
gcloud iam workload-identity-pools providers create-oidc github-actions \
  --location=global --workload-identity-pool=github \
  --issuer-uri="https://token.actions.githubusercontent.com" \
  --attribute-mapping="google.subject=assertion.sub,attribute.repository=assertion.repository" \
  --attribute-condition="assertion.repository_owner=='<owner>'"
gcloud iam service-accounts create <slug>-deployer
gcloud iam service-accounts add-iam-policy-binding "<slug>-deployer@<project>.iam.gserviceaccount.com" \
  --role=roles/iam.workloadIdentityUser \
  --member="principalSet://iam.googleapis.com/projects/<project_number>/locations/global/workloadIdentityPools/github/attribute.repository/<owner>/<repo>"

Read the full file on GitHub · 95 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2d ago First seen · 95 lines · 28 tokens per session scan A 0527a54710c6

Subscribe to this mod's changes

cloud-run is a skill published in the GitHub repository fmind/dotfiles (4 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 1,703 once invoked, about $0.0001 per session on Opus 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.

DevOps and cloud Security ai-agents chezmoi claude-code dotfiles fish-shell gemini-cli

dotfiles-bootstrap

Bootstrap a workstation with the dotfiles framework. Takes a GitHub user / owner+repo / explicit clone URL and runs dot init (which shells out to chezmoi) with the right safety prompts. Honors the active agent profile (ask / plan / apply / audit) so it defaults to dry-run in safer modes and full apply in apply.

sebastienrousseau/dotfiles · 88 tokens

vibe

Delegate a coding task to a cheap AI model (Mistral Vibe by default, but any provider Vibe knows about — DeepSeek, Gemini Flash, etc.) and supervise the result via git diff. Claude orchestrates, the cheap model codes. Claude consumes 500-1500 tokens per delegation regardless of how many file reads the delegate does…

sebastienrousseau/dotfiles · 137 tokens

aiq-research

Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.

laurigates/dotfiles · 25 tokens

obsidian-bases

Obsidian Bases database feature for YAML-based interactive note views. Use when creating .base files, writing filter queries, building formulas, configuring table/card views, or working with Obsidian properties and frontmatter databases.

laurigates/dotfiles · 49 tokens

Send notifications, interactive questions, or multiple-choice polls to the user via Telegram. Use when the user asks to be notified ("ping me", "notify me on Telegram", "ask me when..."), when a long-running task finishes and the user is likely away, when an irreversible action needs out-of-band confirmation, or when…

laurigates/dotfiles · 117 tokens

chezmoi-expert

Comprehensive chezmoi dotfiles management expertise including templates, cross-platform configuration, file naming conventions, and troubleshooting. Covers source directory management, reproducible environment setup, and chezmoi templating with Go templates. Use when user mentions chezmoi, dotfiles, cross-platform…

laurigates/dotfiles · 88 tokens

cloud-run