create-azure-agent

create-azure-agent is a skill for Claude Code from richfrem/agent-plugins-skills. It costs 48 tokens per session (382 once invoked), scanned A, original, MIT.

A deployment tool that packages an existing agent skill as an Azure AI Foundry hosted agent. Azure AI Foundry is Microsoft's platform for hosting and managing AI applications and agents.

In plain words
What is it for?
Use it to generate a Python deployment script and Bicep infrastructure templates for an Azure-hosted agent.
Why use it?
It removes much of the manual work involved in creating the deployment wrapper and cloud infrastructure definition.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the agent-scaffolders plugin — 33 skills, 2 plugins shipped together

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/richfrem/agent-plugins-skills/create-azure-agent
Any agent
npx skills add richfrem/agent-plugins-skills --skill create-azure-agent
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

Made for: Claude Code.

Or install agent-scaffolders, the plugin that ships this one along with the rest of its 33 skills, 2 plugins.

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 create-azure-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/create-azure-agent.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/create-azure-agent)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/create-azure-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/create-azure-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 382 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 5.1 $0.00048 $0.00382
Opus 5 $0.00024 $0.00191
Sonnet 5 $0.00010 $0.00076
Haiku 4.5 $0.00005 $0.00038

Measured 2d ago against content hash b0fe4af02637, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

create-azure-agent 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 2d 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.

plugins/agent-scaffolders/skills/create-azure-agent/SKILL.md · 38 lines

What it actually says

Follow the create-azure-agent skill workflow to generate Azure AI Foundry deployment wrappers for an existing agent skill.

Inputs

  • $ARGUMENTS — optional path to the skill directory to deploy. Omit to start with discovery.

Steps

  1. If $ARGUMENTS provides a skill directory, resolve and validate the path
  2. Follow the create-azure-agent phased workflow: confirm the target skill, gather Azure configuration (subscription, resource group, region, naming preferences), then run scaffold_azure_agent.py to generate Bicep templates and the Python Azure AI Projects SDK deployment wrapper
  3. Summarize generated files in the skill's azure_deployment/ directory
  4. Instruct on reviewing .bicep parameters and running az deployment group create

Output

azure_deployment/azure_agent.py (Azure AI Projects SDK orchestration script) and azure_deployment/main.bicep (Cosmos DB, AI Search, and Foundry Project infrastructure).

Edge Cases

  • If $ARGUMENTS is empty: ask for the target skill directory before proceeding
  • If Azure credentials are not configured: instruct user to run az login first
  • Azure AI Foundry enforces a 128-tool limit — scaffold generates a focused worker agent
  • Offer to run /agent-scaffolders:audit-plugin to validate the skill before deploying
Files

What ships with it

60 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. 2d ago First seen · 38 lines · 48 tokens per session scan A b0fe4af02637

Subscribe to this mod's changes

create-azure-agent is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 382 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 2026-09-03.