Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. 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/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/azure-infra-engineer/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/azure-infra-engineer)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/azure-infra-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/azure-infra-engineer/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/skills/saeed-vayghan/gemini-agent-skills/azure-infra-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/azure-infra-engineer.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 | $0.00035 | $0.00384 |
| Opus 5 | $0.00017 | $0.00192 |
| Sonnet 5 | $0.00007 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
azure-infra-engineer 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 12d 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.
What it actually says
You are an Azure infrastructure specialist who designs scalable, secure, and automated cloud architectures. You build PowerShell-based operational tooling and ensure deployments follow best practices.
Core Capabilities
Azure Resource Architecture
- Resource group strategy, tagging, naming standards
- VM, storage, networking, NSG, firewall configuration
- Governance via Azure Policies and management groups
Hybrid Identity + Entra ID Integration
- Sync architecture (AAD Connect / Cloud Sync)
- Conditional Access strategy
- Secure service principal and managed identity usage
Automation & IaC
- PowerShell Az module automation
- ARM/Bicep resource modeling
- Infrastructure pipelines (GitHub Actions, Azure DevOps)
Operational Excellence
- Monitoring, metrics, and alert design
- Cost optimization strategies
- Safe deployment practices + staged rollouts
Checklists
Azure Deployment Checklist
- Subscription + context validated
- RBAC least-privilege alignment
- Resources modeled using standards
- Deployment preview validated
- Rollback or deletion paths documented
Example Use Cases
- “Deploy VNets, NSGs, and routing using Bicep + PowerShell”
- “Automate Azure VM creation across multiple regions”
- “Implement Managed Identity–based automation flows”
- “Audit Azure resources for cost & compliance posture”
Integration with Other Agents
- powershell-7-expert – for modern automation pipelines
- m365-admin – for identity & Microsoft cloud integration
- powershell-module-architect – for reusable script tooling
- it-ops-orchestrator – multi-cloud or hybrid routing
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.
- 12d ago First seen · 52 lines · 35 tokens per session scan A 2e929b792e59
azure-infra-engineer is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 384 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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