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deploy-model

deploy-model is a skill for Claude Code, Codex from microsoft/azure-skills. It costs 129 tokens per session (1,714 once invoked), scanned A, original, MIT.

A routing workflow for deploying Azure OpenAI models. It chooses between a quick preset, a fully customized deployment, and checking which regions or projects have enough capacity.

In plain words
What is it for?
Use it to create deployments, choose model versions and capacity settings, or find a suitable Azure location and project for a requested deployment.
Why use it?
It helps match the deployment process to the user's need, whether they want speed, detailed control, or availability information.

Skill for Claude CodeCodex

Part of the azure plugin — 38 skills, 1 plugin shipped together

not rated 1.4k +5 yesterday A scan 129 tokens original MIT
View the source file microsoft/azure-skills
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/microsoft/azure-skills/deploy-model
Any agent
npx skills add microsoft/azure-skills --skill deploy-model
Clone the repo
git clone --depth 1 https://github.com/microsoft/azure-skills

Made for: Claude Code, Codex.

Or install azure, the plugin that ships this one along with the rest of its 38 skills, 1 plugin.

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 deploy-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/azure-skills/deploy-model.svg)](https://agentmods.dev/skills/microsoft/azure-skills/deploy-model)
Your own site
<a href="https://agentmods.dev/skills/microsoft/azure-skills/deploy-model"><img src="https://agentmods.dev/badge/skills/microsoft/azure-skills/deploy-model.svg" alt="Measured on agentmods" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,714 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00129 $0.01714
Opus 5 $0.00064 $0.00857
Sonnet 5 $0.00026 $0.00343
Haiku 4.5 $0.00013 $0.00171

Measured 4d ago against content hash ae0de869fdae, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deploy-model 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.

The scan reads SKILL.md. This mod also ships 6 executable files (capacity/scripts/discover_and_rank.ps1, capacity/scripts/discover_and_rank.sh, capacity/scripts/query_capacity.ps1, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/SKILL.md · 147 lines

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.

Deploy Model

Scope — read this first. This skill creates model deployments out-of-band via Azure CLI / MCP / portal. For azd-managed Foundry projects (those scaffolded from azd ai agent init), declare deployments in azure.yaml services.ai-project.deployments[] instead — azd ai agent init writes the entry from the sample manifest and azd provision creates the deployment through Bicep. See foundry-agent/create/create-hosted.md for the Golden Path. Use this skill only for: (a) Foundry projects not managed by an azd project, (b) ad-hoc deployments outside the azd lifecycle.

Unified entry point for all Azure OpenAI model deployment workflows. Analyzes user intent and routes to the appropriate deployment mode.

Quick Reference

Mode When to Use Sub-Skill
Preset Quick deployment, no customization needed preset/SKILL.md
Customize Full control: version, SKU, capacity, RAI policy customize/SKILL.md
Capacity Discovery Find where you can deploy with specific capacity capacity/SKILL.md

Intent Detection

Analyze the user's prompt and route to the correct mode:

User Prompt
    │
    ├─ Simple deployment (no modifiers)
    │  "deploy gpt-4o", "set up a model"
    │  └─> PRESET mode
    │
    ├─ Customization keywords present
    │  "custom settings", "choose version", "select SKU",
    │  "set capacity to X", "configure content filter",
    │  "PTU deployment", "with specific quota"
    │  └─> CUSTOMIZE mode
    │
    ├─ Capacity/availability query
    │  "find where I can deploy", "check capacity",
    │  "which region has X capacity", "best region for 10K TPM",
    │  "where is this model available"
    │  └─> CAPACITY DISCOVERY mode
    │
    └─ Ambiguous (has capacity target + deploy intent)
       "deploy gpt-4o with 10K capacity to best region"
       └─> CAPACITY DISCOVERY first → then PRESET or CUSTOMIZE

Read the full file on GitHub · 147 lines

Files

What ships with it

16 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.

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. 4d ago First seen · 147 lines · 129 tokens per session scan A ae0de869fdae

Subscribe to this mod's changes

deploy-model is a skill published in the GitHub repository microsoft/azure-skills (1,448 stars, last pushed yesterday), licensed MIT. It adds 129 tokens to every session and 1,714 once invoked, about $0.0006 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.

Data and AIDevOps and cloudagent-skills
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