Azure Skills Plugin is an agent plugin that packages Azure-specific guidance with MCP server configurations for carrying out Azure work. Coding agents use it to plan, deploy, troubleshoot, monitor, govern, and optimize Azure applications and services. The catalogue entries are the plugin's skills, instructions, and execution integrations.
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/microsoft/azure-skills/capacitynpx skills add microsoft/azure-skills --skill capacitygit clone --depth 1 https://github.com/microsoft/azure-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/microsoft/azure-skills/capacity)<a href="https://agentmods.dev/skills/microsoft/azure-skills/capacity"><img src="https://agentmods.dev/badge/skills/microsoft/azure-skills/capacity.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 | $0.00105 | $0.01617 |
| Opus 5 | $0.00053 | $0.00809 |
| Sonnet 5 | $0.00021 | $0.00323 |
| Haiku 4.5 | $0.00011 | $0.00162 |
Grade A, and why
capacity 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 5d 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.
This is a copy
100% identical to capacity — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capacity Discovery
Finds available Azure OpenAI model capacity across all accessible regions and projects. Recommends the best deployment location based on capacity requirements.
Quick Reference
| Property | Description |
|---|---|
| Purpose | Find where you can deploy a model with sufficient capacity |
| Scope | All regions and projects the user has access to |
| Output | Ranked table of regions/projects with available capacity |
| Action | Read-only analysis — does NOT deploy. Hands off to preset or customize |
| Authentication | Azure CLI (az login) |
When to Use This Skill
- ✅ User asks "where can I deploy gpt-4o?"
- ✅ User specifies a capacity target: "find a region with 10K TPM for gpt-4o"
- ✅ User wants to compare availability: "which regions have gpt-4o available?"
- ✅ User got a quota error and needs to find an alternative location
- ✅ User asks "best region and project for deploying model X"
After discovery → hand off to preset or customize for actual deployment.
Scripts
Pre-built scripts handle the complex REST API calls and data processing. Use these instead of constructing commands manually.
| Script | Purpose | Usage |
|---|---|---|
scripts/discover_and_rank.ps1 |
Full discovery: capacity + projects + ranking | Primary script for capacity discovery |
scripts/discover_and_rank.sh |
Same as above (bash) | Primary script for capacity discovery |
scripts/query_capacity.ps1 |
Raw capacity query (no project matching) | Quick capacity check or version listing |
scripts/query_capacity.sh |
Same as above (bash) | Quick capacity check or version listing |
Workflow
Phase 1: Validate Prerequisites
az account show --query "{Subscription:name, SubscriptionId:id}" --output table
Phase 2: Identify Model and Version
Extract model name from user prompt. If version is unknown, query available versions:
.\scripts\query_capacity.ps1 -ModelName <model-name>
./scripts/query_capacity.sh <model-name>
What ships with it
4 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.
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.
- 5d ago First seen · 147 lines · 105 tokens per session scan A 91b3ce958de4
capacity is a skill published in the GitHub repository microsoft/azure-skills (1,453 stars, last pushed today), licensed MIT. It adds 105 tokens to every session and 1,617 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to capacity, differing in 0 lines, and is treated as a copy.
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