What is az-cost-optimize?

A workflow for analyzing Azure infrastructure and finding ways to reduce its running costs. It can examine infrastructure-as-code files or resources in a target resource group and records recommendations as GitHub issues.

Use it to review Azure resources for cost-saving opportunities and create GitHub issues for each recommendation plus a coordinating issue.

It turns infrastructure cost findings into individual, trackable work items instead of leaving them as an unstructured report.

az-cost-optimize — Skill for Claude Code and Codex by fabioc-aloha

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.

Any agent

npx skills add fabioc-aloha/Alex_Skill_Mall --skill az-cost-optimize

Clone the repo

git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/az-cost-optimize/github.svg)](https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/az-cost-optimize)

Your own site

<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/az-cost-optimize"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/az-cost-optimize/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/az-cost-optimize"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/az-cost-optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,974 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 98% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.02974
Opus 5	$0.00018	$0.01487
Sonnet 5	$0.00007	$0.00595
Haiku 4.5	$0.00004	$0.00297

Measured 7d ago against content hash 2fd3912a01fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

az-cost-optimize 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 7d 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.

Origin

This is a copy

98% identical to az-cost-optimize — 3 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.

plugins/cloud-infrastructure/az-cost-optimize/skills/az-cost-optimize/SKILL.md · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure Cost Optimize

This workflow analyzes Infrastructure-as-Code (IaC) files and Azure resources to generate cost optimization recommendations. It creates individual GitHub issues for each optimization opportunity plus one EPIC issue to coordinate implementation, enabling efficient tracking and execution of cost savings initiatives.

Prerequisites

Azure MCP server configured and authenticated
GitHub MCP server configured and authenticated
Target GitHub repository identified
Azure resources deployed (IaC files optional but helpful)
Prefer Azure MCP tools (azmcp-*) over direct Azure CLI when available

Workflow Steps

Step 1: Get Azure Best Practices

Action: Retrieve cost optimization best practices before analysis Tools: Azure MCP best practices tool Process:

Load Best Practices:
- Execute azmcp-bestpractices-get to get some of the latest Azure optimization guidelines. This may not cover all scenarios but provides a foundation.
- Use these practices to inform subsequent analysis and recommendations as much as possible
- Reference best practices in optimization recommendations, either from the MCP tool output or general Azure documentation

Step 2: Discover Azure Infrastructure

Action: Dynamically discover and analyze Azure resources and configurations Tools: Azure MCP tools + Azure CLI fallback + Local file system access Process:

Resource Discovery:
- Execute azmcp-subscription-list to find available subscriptions
- Execute azmcp-group-list --subscription <subscription-id> to find resource groups
- Get a list of all resources in the relevant group(s):
  - Use az resource list --subscription <id> --resource-group <name>
- For each resource type, use MCP tools first if possible, then CLI fallback:
  - azmcp-cosmos-account-list --subscription <id> - Cosmos DB accounts
  - azmcp-storage-account-list --subscription <id> - Storage accounts
  - azmcp-monitor-workspace-list --subscription <id> - Log Analytics workspaces
  - azmcp-keyvault-key-list - Key Vaults
  - az webapp list - Web Apps (fallback - no MCP tool available)
  - az appservice plan list - App Service Plans (fallback)
  - az functionapp list - Function Apps (fallback)
  - az sql server list - SQL Servers (fallback)
  - az redis list - Redis Cache (fallback)
  - ... and so on for other resource types

Read the full file on GitHub · 307 lines

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.

7d ago First seen · 307 lines · 37 tokens per session scan A 2fd3912a01fa

Subscribe to this mod's changes

az-cost-optimize is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 2,974 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to az-cost-optimize, differing in 3 lines, and is treated as a copy.

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