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azure-pricingAzure pricing 数据库

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-pricing(Azure pricing 数据库)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/azure-pricing
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill azure-pricing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/github/awesome-copilot --skill azure-pricing

简介

实时 Azure 服务定价查找和 Copilot Studio 代理信用成本估算。

  • 查询 Azure 零售价格 API 以获取跨区域和 SKU 的计算、存储、网络、数据库、AI 以及所有其他 Azure 服务系列的当前定价
  • 支持使用 OData 语法按服务名称、区域、SKU、价格类型(消费、预订、现货)和储蓄计划选项进行过滤
  • 包括基于使用模式的每月和每年工作负载预测的成本估算公式
  • 根据座席类型、用户数量、交互、知识基础和工具使用情况估算 Copilot Studio 座席信用消耗;从 Microsoft Learn 获取实时计费费率以确保当前定价

SKILL.md

Azure Pricing Skill

Use this skill to retrieve real-time Azure retail pricing data from the public Azure Retail Prices API. No authentication is required.

When to Use This Skill

  • User asks about the cost of an Azure service (e.g., "How much does a D4s v5 VM cost?")
  • User wants to compare pricing across regions or SKUs
  • User needs a cost estimate for a workload or architecture
  • User mentions Azure pricing, Azure costs, or Azure billing
  • User asks about reserved instance vs. pay-as-you-go pricing
  • User wants to know about savings plans or spot pricing

API Endpoint

GET https://prices.azure.com/api/retail/prices?api-version=2023-01-01-preview

Append $filter as a query parameter using OData filter syntax. Always use api-version=2023-01-01-preview to ensure savings plan data is included.

Step-by-step Instructions

If anything is unclear about the user's request, ask clarifying questions to identify the correct filter fields and values before calling the API.

  1. Identify filter fields from the user's request (service name, region, SKU, price type).
  2. Resolve the region: the API requires armRegionName values in lowercase with no spaces (e.g. "East US" → eastus, "West Europe" → westeurope, "Southeast Asia" → southeastasia). See references/REGIONS.md for a complete list.
  3. Build the filter string using the fields below and fetch the URL.
  4. Parse the Items array from the JSON response. Each item contains price and metadata.
  5. Follow pagination via NextPageLink if you need more than the first 1000 results (rarely needed).
  6. Calculate cost estimates using the formulas in references/COST-ESTIMATOR.md to produce monthly/annual estimates.
  7. Present results in a clear summary table with service, SKU, region, unit price, and monthly/annual estimates.

Filterable Fields

FieldTypeExample
serviceNamestring (exact, case-sensitive)'Functions', 'Virtual Machines', 'Storage'
serviceFamilystring (exact, case-sensitive)'Compute', 'Storage', 'Databases', 'AI + Machine Learning'
armRegionNamestring (exact, lowercase)'eastus', 'westeurope', 'southeastasia'
armSkuNamestring (exact)'Standard_D4s_v5', 'Standard_LRS'
skuNamestring (contains supported)'D4s v5'
priceTypestring'Consumption', 'Reservation', 'DevTestConsumption'
meterNamestring (contains supported)'Spot'

Use eq for equality, and to combine, and contains(field, 'value') for partial matches.

Example Filter Strings

# All consumption prices for Functions in East US
serviceName eq 'Functions' and armRegionName eq 'eastus' and priceType eq 'Consumption'

# D4s v5 VMs in West Europe (consumption only)
armSkuName eq 'Standard_D4s_v5' and armRegionName eq 'westeurope' and priceType eq 'Consumption'

# All storage prices in a region
serviceName eq 'Storage' and armRegionName eq 'eastus'

# Spot pricing for a specific SKU
armSkuName eq 'Standard_D4s_v5' and contains(meterName, 'Spot') and armRegionName eq 'eastus'

# 1-year reservation pricing
serviceName eq 'Virtual Machines' and priceType eq 'Reservation' and armRegionName eq 'eastus'

# Azure AI / OpenAI pricing (now under Foundry Models)
serviceName eq 'Foundry Models' and armRegionName eq 'eastus' and priceType eq 'Consumption'

# Azure Cosmos DB pricing
serviceName eq 'Azure Cosmos DB' and armRegionName eq 'eastus' and priceType eq 'Consumption'

Full Example Fetch URL

https://prices.azure.com/api/retail/prices?api-version=2023-01-01-preview&$filter=serviceName eq 'Functions' and armRegionName eq 'eastus' and priceType eq 'Consumption'

URL-encode spaces as %20 and quotes as %27 when constructing the URL.

Key Response Fields

{
  "Items": [
    {
      "retailPrice": 0.000016,
      "unitPrice": 0.000016,
      "currencyCode": "USD",
      "unitOfMeasure": "1 Execution",
      "serviceName": "Functions",
      "skuName": "Premium",
      "armRegionName": "eastus",
      "meterName": "vCPU Duration",
      "productName": "Functions",
      "priceType": "Consumption",
      "isPrimaryMeterRegion": true,
      "savingsPlan": [
        { "unitPrice": 0.000012, "term": "1 Year" },
        { "unitPrice": 0.000010, "term": "3 Years" }
      ]
    }
  ],
  "NextPageLink": null,
  "Count": 1
}

Only use items where isPrimaryMeterRegion is true unless the user specifically asks for non-primary meters.

Supported serviceFamily Values

Analytics, Compute, Containers, Data, Databases, Developer Tools, Integration, Internet of Things, Management and Governance, Networking, Security, Storage, Web, AI + Machine Learning

Tips

  • serviceName values are case-sensitive. When unsure, filter by serviceFamily first to discover valid serviceName values in the results.
  • If results are empty, try broadening the filter (e.g., remove priceType or region constraints first).
  • Prices are always in USD unless currencyCode is specified in the request.
  • For savings plan prices, look for the savingsPlan array on each item (only in 2023-01-01-preview).
  • See references/SERVICE-NAMES.md for a catalog of common service names and their correct casing.
  • See references/COST-ESTIMATOR.md for cost estimation formulas and patterns.
  • See references/COPILOT-STUDIO-RATES.md for Copilot Studio billing rates and estimation formulas.

Troubleshooting

IssueSolution
Empty resultsBroaden the filter — remove priceType or armRegionName first
Wrong service nameUse serviceFamily filter to discover valid serviceName values
Missing savings plan dataEnsure api-version=2023-01-01-preview is in the URL
URL errorsCheck URL encoding — spaces as %20, quotes as %27
Too many resultsAdd more filter fields (region, SKU, priceType) to narrow down

Copilot Studio Agent Usage Estimation

Use this section when the user asks about Copilot Studio pricing, Copilot Credits, or agent usage costs.

When to Use This Section

  • User asks about Copilot Studio pricing or costs
  • User asks about Copilot Credits or agent credit consumption
  • User wants to estimate monthly costs for a Copilot Studio agent
  • User mentions agent usage estimation or the Copilot Studio estimator
  • User asks how much an agent will cost to run

Key Facts

  • 1 Copilot Credit = $0.01 USD
  • Credits are pooled across the entire tenant
  • Employee-facing agents with M365 Copilot licensed users get classic answers, generative answers, and tenant graph grounding at zero cost
  • Overage enforcement triggers at 125% of prepaid capacity

Step-by-step Estimation

  1. Gather inputs from the user: agent type (employee/customer), number of users, interactions/month, knowledge %, tenant graph %, tool usage per session.
  2. Fetch live billing rates — use the built-in web fetch tool to download the latest rates from the source URLs listed below. This ensures the estimate always uses the most current Microsoft pricing.
  3. Parse the fetched content to extract the current billing rates table (credits per feature type).
  4. Calculate the estimate using the rates and formulas from the fetched content:

- total_sessions = users × interactions_per_month - Knowledge credits: apply tenant graph grounding rate, generative answer rate, and classic answer rate - Agent tools credits: apply agent action rate per tool call - Agent flow credits: apply flow rate per 100 actions - Prompt modifier credits: apply basic/standard/premium rates per 10 responses

  1. Present results in a clear table with breakdown by category, total credits, and estimated USD cost.

Source URLs to Fetch

When answering Copilot Studio pricing questions, fetch the latest content from these URLs to use as context:

URLContent
https://learn.microsoft.com/en-us/microsoft-copilot-studio/requirements-messages-managementBilling rates table, billing examples, overage enforcement rules
https://learn.microsoft.com/en-us/microsoft-copilot-studio/billing-licensingLicensing options, M365 Copilot inclusions, prepaid vs pay-as-you-go

Fetch at least the first URL (billing rates) before calculating. The second URL provides supplementary context for licensing questions.

See references/COPILOT-STUDIO-RATES.md for a cached snapshot of rates, formulas, and billing examples (use as fallback if web fetch is unavailable).

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.54%
按下载量换算10,605

Claude

30.98%
按下载量换算10,097

Cursor

20.13%
按下载量换算6,561

Gemini CLI

9.33%
按下载量换算3,041

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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