Azure Cost Calculator - AI Agent Plugin

Real-time Azure cost estimation using the public Azure Retail Prices API. Works with any agent in the skills.sh ecosystem. All prices come from live API lookups. No Azure subscription required.

Install

Install as a Plugin (recommended for Copilot CLI and Claude Code)

Run inside a Copilot CLI or Claude Code session.

/plugin marketplace add ahmadabdalla/plugins
/plugin install azure-cost-calculator@ahmadabdalla-plugins

Plugin install pulls from versioned releases with changelog tracking and update control. For the full plugin install/uninstall/update guide, see Plugin Management.

Install as a Skill (works with any agent)

npx (works with any agent):

npx skills add ahmadabdalla/azure-cost-calculator-skill

Don’t have npx? Install Node.js (which includes npm and npx), or run npm install -g skills first then use skills add ahmadabdalla/azure-cost-calculator-skill.

The npx method pulls the latest from the main branch directly; it always gets the current stable content but without version pinning or rollback.

Usage

Ask about Azure costs in natural language. The skill activates automatically.

How much does a D4s v5 VM cost per month in East US?
Compare App Service pricing tiers for a production web app
Estimate a Standard_B2s VM with a P30 managed disk in Australia East in AUD
What's the cost of a General Purpose SQL Database with 4 vCores in West Europe in EUR?
How much would Azure Cosmos DB with 1000 RU/s and 100 GB storage cost?

Planning a larger architecture? Start with:

I’d like to perform a cost analysis on an Azure architecture. What do I need to consider to get consistent results?

The agent will walk you through the key parameters that affect pricing accuracy. For the full guide on writing prompts that produce deterministic estimates, see the Usage Guide.

How It Works

The skill uses service reference files as an index. Each file contains exact API filter values as declarative Key: Value parameters, cost formulas, and traps. The agent reads the matching file, translates the parameters to the detected runtime (Bash or PowerShell), runs the pricing script against the live API, and presents a structured estimate.

The skill optimises for two goals:

• Determinism - target ≤ 5% cost variance. Same query → same API call → same price. All values from the live API, nothing hardcoded. LLMs are non-deterministic by nature, so this skill is designed to constrain them where possible: pre-verified filters, explicit formulas, and scripted API calls reduce the surface area where the model can drift.