arm-template-helper

arm-template-helper is a skill for Claude Code, Codex from armanzeroeight/fastagent-plugins. It costs 35 tokens per session (446 once invoked), scanned A, original, MIT.

A helper for creating and checking Azure Resource Manager templates, which are JSON files that describe cloud infrastructure as code.

In plain words
What is it for?
Use it to create templates, validate them, preview changes with a what-if deployment, and deploy resource groups containing services such as storage accounts.
Why use it?
It reduces errors when defining Azure resources and lets you preview deployment changes before applying them.

Skill for Claude CodeCodex

Part of the azure-toolkit plugin — 2 skills 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/armanzeroeight/fastagent-plugins/arm-template-helper
Any agent
npx skills add armanzeroeight/fastagent-plugins --skill arm-template-helper
Clone the repo
git clone --depth 1 https://github.com/armanzeroeight/fastagent-plugins

Made for: Claude Code, Codex.

Or install azure-toolkit, the plugin that ships this one along with the rest of its 2 skills.

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 arm-template-helper

README.md
[![agentmods](https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/arm-template-helper.svg)](https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/arm-template-helper)
Your own site
<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/arm-template-helper"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/arm-template-helper.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 446 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 $0.00035 $0.00446
Opus 5 $0.00017 $0.00223
Sonnet 5 $0.00007 $0.00089
Haiku 4.5 $0.00003 $0.00045

Measured 5d ago against content hash 5b65eb3ac8ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

arm-template-helper 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.

plugins/azure-toolkit/skills/arm-template-helper/SKILL.md · 84 lines

What it actually says

ARM Template Helper

Quick Start

Create and validate Azure Resource Manager templates for infrastructure as code deployments.

Instructions

Step 1: Create ARM template structure

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "location": {
      "type": "string",
      "defaultValue": "[resourceGroup().location]"
    }
  },
  "variables": {},
  "resources": [],
  "outputs": {}
}

Step 2: Add resources

"resources": [
  {
    "type": "Microsoft.Storage/storageAccounts",
    "apiVersion": "2021-04-01",
    "name": "[parameters('storageAccountName')]",
    "location": "[parameters('location')]",
    "sku": {
      "name": "Standard_LRS"
    },
    "kind": "StorageV2"
  }
]

Step 3: Validate template

# Validate ARM template
az deployment group validate \
  --resource-group myResourceGroup \
  --template-file template.json \
  --parameters parameters.json

# Test deployment (what-if)
az deployment group what-if \
  --resource-group myResourceGroup \
  --template-file template.json

Step 4: Deploy template

# Deploy ARM template
az deployment group create \
  --resource-group myResourceGroup \
  --template-file template.json \
  --parameters parameters.json

Best Practices

  1. Use parameters for configurable values
  2. Use variables for computed values
  3. Add outputs for important resource properties
  4. Use dependsOn for resource dependencies
  5. Implement proper naming conventions
  6. Add tags for resource organization
  7. Use linked templates for modularity
  8. Validate before deploying
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. 5d ago First seen · 84 lines · 35 tokens per session scan A 5b65eb3ac8ed

Subscribe to this mod's changes

arm-template-helper is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 446 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.

Related

Other skills, from other repositories

eliza-cloud-manage-domain

Use after a domain has been purchased through Eliza Cloud (via the eliza-cloud-buy-domain skill) when the user wants to look at, edit, or remove a domain or its DNS records. Covers org-wide domain listing, per-app DNS record CRUD on cloudflare-managed zones, status re-sync, external-attachment verification, and…

elizaOS/eliza · 125 tokens

deploy-open-harness

Guides a user through collecting the credentials needed to deploy their own copy of Open Harness, deploying this repo on Vercel, and completing first-run setup. Use for requests about deploying, self-hosting, configuring credentials, or getting started with a fork of this app.

vercel-labs/open-agents · 60 tokens

artifact-deploy

One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".

kirodotdev/KiroCrew · 74 tokens

guizang-ppt-skill

生成横向翻页网页 PPT(单 HTML 文件),含 WebGL 背景、章节幕封、数据大字报、图片网格等模板。提供两种风格:① "电子杂志 × 电子墨水"(衬线 + 流体背景 + 暖色) ② "瑞士国际主义"(无衬线 + 网格点阵 + IKB/柠檬黄/柠檬绿/安全橙高亮)。当用户需要制作分享 / 演讲 / 发布会风格的网页 PPT,或提到"杂志风 PPT"、"瑞士风 PPT"、"Swiss Style"、"horizontal swipe deck"时使用。.

proma-ai/Proma · 161 tokens

proma-coach

Proma 使用顾问,主动把用户在 Proma/Agent/Skill/Chat 工具/项目里的摩擦、疑惑、重复解释和低效流程,转成更顺手的使用方式或合适的知识维护动作。触发要积极:用户表达不满、困惑、重复提醒、"为什么没用/不会自动/又要我说"、"算了,我自己来"、"你上次不是说..."、"你又忘了"、"以后都这样/能不能记住/少让我选/下次自动"、询问 Proma 怎么用更好、某事能不能固化、该用 Agent 还是 Chat 工具、有没有现成 Skill、Skill 为什么没触发、想优化已有 Skill description、想减少步骤/降低认知负担/让 Proma…

proma-ai/Proma · 386 tokens

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

proma-ai/Proma · 64 tokens