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.
npx agentmods add skills/googlecloudplatform/gemini-cloud-assist-mcp/operating-google-cloudnpx skills add GoogleCloudPlatform/gemini-cloud-assist-mcp --skill operating-google-cloudgit clone --depth 1 https://github.com/GoogleCloudPlatform/gemini-cloud-assist-mcpWrote 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/googlecloudplatform/gemini-cloud-assist-mcp/operating-google-cloud)<a href="https://agentmods.dev/skills/googlecloudplatform/gemini-cloud-assist-mcp/operating-google-cloud"><img src="https://agentmods.dev/badge/skills/googlecloudplatform/gemini-cloud-assist-mcp/operating-google-cloud.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.01067 |
| Opus 5 | $0.00017 | $0.00534 |
| Sonnet 5 | $0.00007 | $0.00213 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
operating-google-cloud 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 4d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing GCP and Kubernetes
Index
Overview
GCP and Kubernetes resources and mutations should use MCP tools. These tools are specialized backend agents. As the client agent, your role is to identify the intent and delegate the entire task verbatim to the appropriate intelligent tool.
Note: These tools are part of the gemini_cloud_assist and application_design_center MCP Servers. Tool names are qualified with their respective server names (e.g., gemini_cloud_assist:tool_name).
Tool Usage & Routing
-
General Assistance & Orchestration: Use
gemini_cloud_assist:ask_cloud_assistfor general inquiries, estate queries (e.g., "List my active VMs"), low-complexity directives, and triage of ambiguous issues.- Triggers: Broad questions, status checks, exploratory queries, mutative directives (e.g., "Restart VM", "Scale cluster").
- Routing: This is the default choice for intents that are purely informational or involve general cloud concepts.
-
Infrastructure Design & Architecture: Use
gemini_cloud_assist:design_infrafor designing, architecting, or deploying infrastructure.- Commands:
manage_app_design: Use for comprehensive ADC application designs and IaC imports.generate_terraform: Use for single-resource Terraform generation.generate_gcloud/generate_bigquery: Use for generating CLI commands.generate_kubernetes_yaml: Use for Kubernetes manifests.debug_deployment: Use for debugging ADC deployment failures.
- Commands:
-
Troubleshooting & Deep Diagnostics: Use
gemini_cloud_assist:investigate_issuefor specialized "SRE in a box" diagnostics and Root Cause Analysis (RCA).- Triggers: Outages, crashes, latency spikes, deep debugging, error log reasoning, and understanding application dependencies (topology).
- Routing: Use when the user asks "Why" a failure occurred or needs remediation for a known incident.
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.
- 4d ago First seen · 57 lines · 34 tokens per session scan A 08a0f3847d4f
operating-google-cloud is a skill published in the GitHub repository GoogleCloudPlatform/gemini-cloud-assist-mcp (67 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,067 once invoked, about $0.0002 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 2026-08-30.
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