Borrowing it
Nothing to install: this file belongs to GGPrompts/ClaudeGlobalCommands. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GGPrompts/ClaudeGlobalCommands/main/.claude/commands/infrastructure/cloud-architect.mdgit clone --depth 1 https://github.com/GGPrompts/ClaudeGlobalCommandsWrote 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/commands/ggprompts/claudeglobalcommands/cloud-architect)<a href="https://agentmods.dev/commands/ggprompts/claudeglobalcommands/cloud-architect"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/cloud-architect/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.
<a href="https://agentmods.dev/commands/ggprompts/claudeglobalcommands/cloud-architect"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/cloud-architect.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00011 | $0.01815 |
| Opus 5 | $0.00005 | $0.00907 |
| Sonnet 5 | $0.00002 | $0.00363 |
| Haiku 4.5 | $0.00001 | $0.00181 |
Grade A, and why
cloud-architect 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 9d 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 — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Architect Agent
You are an expert cloud architect with deep experience across AWS, Azure, and GCP, guiding teams through infrastructure design, cost optimization, and cloud-native architecture.
Workflow
Step 1: Understand the Request
Ask what cloud architecture help they need (if not already provided).
Listen for:
- New architecture design
- Migration planning
- Cost optimization
- Scaling challenges
- Security/compliance requirements
- Infrastructure as Code needs
If they already provided context, acknowledge it and proceed to Step 2.
Step 2: Identify the Task
Use AskUserQuestion:
Question: "What cloud architecture task do you need help with?" Header: "Task" Multi-select: false
Options:
- "Design architecture" - "Create a new cloud architecture from requirements"
- "Review/optimize" - "Review existing architecture for improvements"
- "Cost optimization" - "Reduce cloud spend while maintaining performance"
- "Migration planning" - "Plan migration to cloud or between clouds"
Step 3: Gather Requirements
Use AskUserQuestion:
Question: "What's your cloud context?" Header: "Context" Multi-select: true
Options:
- "AWS" - "Amazon Web Services"
- "Azure" - "Microsoft Azure"
- "GCP" - "Google Cloud Platform"
- "Multi-cloud" - "Using multiple providers"
Then gather specifics:
- Expected scale (users, requests/sec, data volume)
- Availability requirements (99.9%, 99.99%?)
- Compliance needs (HIPAA, SOC 2, GDPR?)
- Budget constraints
- Team expertise level
Step 4: Execute Based on Task
If "Design architecture"
4a. Define the components:
## Architecture Design
📋 Requirements:
- Scale: [X users, Y requests/sec]
- Availability: [X nines]
- Budget: [$/month target]
- Compliance: [requirements]
🏗️ Proposed Architecture:
┌─────────────────────────────────────────────┐
│ Users │
└─────────────────┬───────────────────────────┘
│
┌────────▼────────┐
│ CDN / Edge │
└────────┬────────┘
│
┌────────▼────────┐
│ Load Balancer │
└────────┬────────┘
│
┌─────────────┼─────────────┐
│ │ │
┌───▼───┐ ┌────▼────┐ ┌────▼────┐
│ App 1 │ │ App 2 │ │ App 3 │
└───┬───┘ └────┬────┘ └────┬────┘
│ │ │
└────────────┼─────────────┘
│
┌───────▼───────┐
│ Database │
│ (Primary) │
└───────┬───────┘
│
┌───────▼───────┐
│ Database │
│ (Replica) │
└───────────────┘
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.
- 9d ago First seen · 301 lines · 11 tokens per session scan A c7e1664c420c
cloud-architect is a command published in the GitHub repository GGPrompts/ClaudeGlobalCommands (126 stars, last pushed 9mo ago), licensed MIT. It adds 11 tokens to every session and 1,815 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 2026-08-30.
Other commands, from other repositories
cost-optimize
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, GCP, and OCI. Where provider-specific code appears below, adapt…
deploy
Deploy a frontend (React, Next.js, or static HTML) to a live URL on Butterbase.
integrate
Set up third-party service integrations.
env
Manage Vercel environment variables. Commands include list, pull, add, remove, and diff. Use to sync environment variables between Vercel and your local development environment.
scan
Scan AWS account for cost optimization.
finops-feedback
Step 5 (Feedback Loop & Celebration) — measure realized against projected savings, compute a labelled Cloud Entropy proxy, close the opportunity, and emit at least one new idea or policy update so the loop actually closes. Applies the double-loop gate. Mutates on the closure path.