agentmods.dev

cloud-run

cloud-run is a skill for Claude Code from robium-ai/robium. It costs 224 tokens per session (4,576 once invoked), scanned A, original, MIT.

A planning and design guide for starting or reshaping a robotics application. It helps choose the robot, simulator, software stack, data path, visual tools, computing target, and first useful build.

In plain words
What is it for?
Use it to explore project requirements, compare technology choices, define a first buildable slice, record architecture decisions, and route work to the relevant skills.
Why use it?
It turns a rough idea or a major design question into a smaller, documented plan without treating early assumptions as permanent.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the robium plugin — 70 skills, 1 agent, 6 hooks shipped together

not rated 9 +1 8d ago A scan 224 tokens original MIT
View the source file robium-ai/robium robium.ai
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/robium-ai/robium/1.0.1
Any agent
npx skills add robium-ai/robium --skill 1.0.1
Clone the repo
git clone --depth 1 https://github.com/robium-ai/robium

Made for: Claude Code.

Or install robium, the plugin that ships this one along with the rest of its 70 skills, 1 agent, 6 hooks.

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 cloud-run

README.md
[![agentmods](https://agentmods.dev/badge/skills/robium-ai/robium/1.0.1.svg)](https://agentmods.dev/skills/robium-ai/robium/1.0.1)
Your own site
<a href="https://agentmods.dev/skills/robium-ai/robium/1.0.1"><img src="https://agentmods.dev/badge/skills/robium-ai/robium/1.0.1.svg" alt="Measured on agentmods" height="20"></a>
Per session 224 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,576 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00224 $0.04576
Opus 5 $0.00112 $0.02288
Sonnet 5 $0.00045 $0.00915
Haiku 4.5 $0.00022 $0.00458

Measured 6d ago against content hash 889c1f6809dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

cloud-run 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 6d 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.

probing a boot by hand from a shell, *hold the connection* (`curl -N --http1.1
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • cloud-run — 97% identical, 88 lines differ
  • cloud-run — 97% identical, 62 lines differ
archive/cloud-run/1.0.1/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

cloud-run

The deploy target for robium's headless robotics and demo containers: a sim + bridge (or a policy server) built into an image, pushed to Artifact Registry, and run on Google Cloud Run so a browser can reach it — optionally one private instance per visitor, scale-to-zero when idle. This skill consolidates the Cloud-Run-specific mechanics and the robotics/headless gotchas that were hard-won deploying a Gazebo Harmonic + Nav2 stack (robium's nav-trial demo, 2026-07-12/13). It stays thin on general gcloud/GCP usage — that lives in Google's own docs — and embeds only what a robotics container hits that a plain web service never does.

When to use this skill

  • Building and deploying any headless robotics/sim/demo container to Cloud Run: the gcloud / Cloud Build → Artifact Registry → gcloud run deploy path, and the flag set a sim workload needs (CPU/memory, timeout, concurrency, affinity).
  • Debugging a robotics container that runs locally but misbehaves on Cloud Run: gz/DDS discovery silent (no multicast), sim boot freezes (CPU throttled between requests), WebSocket drops, affinity cookie ignored, deploy fails on VPC IPs.
  • Wiring deploy auth from CI/servers with a GCP service-account key.
  • The trigger phrases in the description: 'deploy to Cloud Run', 'gcloud run deploy', 'Cloud Build', 'Artifact Registry', 'session affinity', '--no-cpu-throttling', 'GZ_RELAY on Cloud Run', 'Cloud Run WebSocket timeout'.
  • Cross-references — go to the sibling skill instead when the question is:
    • The demo orchestrator, session gateway (claim/status/shutdown + ws tunnel), mission-control page, or viewer handoff → live-demo (it uses this skill's deploy mechanics but owns everything demo-shaped above the container).
    • Whether to use uv vs Docker, local↔remote reproducibility, GPU passthrough, or GPU-cloud/RunPod provisioning → environments (Cloud Run is CPU-only and is one deploy target it points at; RunPod is the GPU one).
    • foxglove_bridge mechanics, the foxglove.sdk.v1 subprotocol, MCAP → the foxglove skill (this skill only covers reaching the bridge through Cloud Run's proxy).
    • The whole-stack decision and where deploy sits → architect (routes here).

Read the full file on GitHub · 291 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. 6d ago First seen · 291 lines · 224 tokens per session scan A 889c1f6809dd

Subscribe to this mod's changes

cloud-run is a skill published in the GitHub repository robium-ai/robium (9 stars, last pushed 8d ago), licensed MIT. It adds 224 tokens to every session and 4,576 once invoked, about $0.0011 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 2026-08-31.

CloudContainersDevOps and cloudagent-skillsai-agentsclaude-codecodexcursordeveloper-tools
Related

Other skills, from other repositories

dokploy-deploy

This skill should be used when user asks to "deploy with Dokploy", "use Dokploy Cloud", "manage self-hosted Dokploy", "deploy Docker Compose on Dokploy", "manage Dokploy databases", "configure Dokploy domains", or "look up Dokploy CLI commands".

fcakyon/claude-codex-settings · 63 tokens

deploy-gen

Generate deployment configurations (Docker, Kubernetes) for the current project.

jmagly/aiwg · 15 tokens

harness

To build an AI harness: run, observe, validate, automate repeated work faster — CLI/MCP actions, devcontainers, skills, subagents, hooks, pipelines, automations.

griddynamics/rosetta · 40 tokens

qdrant-deployment-options

Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.

qdrant/skills · 79 tokens

kubernetes

Deploy, manage, and debug Kubernetes in production — Deployments, Services, Gateway API, Service Mesh (Istio/Linkerd/Cilium), eBPF observability (Cilium Hubble), security hardening (Pod Security Standards, OPA/Kyverno, seccomp, runtime security with Falco/Tetragon), Helm, HPA, PDB, topology spread, and debugging. Use…

EliasOulkadi/shokunin · 144 tokens

ring:creating-helm-charts

Creating Helm charts to Lerian conventions via ring:helm: standardized chart structure, full env-var coverage from .env.example, security defaults (runAsNonRoot, readOnlyRootFilesystem), ClusterIP-only services, and health probes; validates helm lint and template render. Use when creating, modifying, or reviewing a…

LerianStudio/ring · 92 tokens