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Azure Well Architected Framework

Checked
josiahsiegel·vlatest·cloud·MIT

Assess Azure resources against Well-Architected Framework pillars to identify improvement opportunities and best practice alignment.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add josiahsiegel/claude-plugin-marketplace --skill azure-well-architected-framework -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

josiahsiegel

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned josiahsiegel/claude-plugin-marketplace at 5a1b1123b9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5a1b1123b9
Manifest
plugins/azure-master/skills/azure-well-architected-framework/SKILL.md
Scanned
1 file, 381 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The Azure Well-Architected Framework skill enables AI agents to evaluate cloud workloads against Microsoft's five core pillars: Cost Optimization, Operational Excellence, Performance Efficiency, Reliability, and Security. It provides structured guidance to identify risks and recommend improvements for Azure environments based on industry best practices.

When to use it

  • Reviewing existing infrastructure for security gaps before a compliance audit.
  • Planning a migration strategy to ensure operational excellence during the transition.
  • Optimizing cloud spending by analyzing resource utilization patterns.
  • Validating system designs against reliability standards prior to production launch.

Key capabilities

  • Assesses workloads across the five pillars of the Azure Well-Architected Framework.
  • Generates detailed reports highlighting specific risks and improvement opportunities.
  • Provides actionable recommendations tailored to Azure service configurations.
  • Supports both initial architecture reviews and ongoing operational assessments.

Example prompts

"Analyze my current Azure SQL deployment for security vulnerabilities and suggest remediation steps." "Create a checklist to ensure our new microservices architecture meets reliability standards." "Evaluate our cloud cost structure and recommend strategies to reduce monthly spend without impacting performance."

Tips & gotchas

Ensure your AI agent has access to sufficient context about your specific Azure environment, such as resource configurations or existing policies, to generate accurate assessments. This skill is designed for guidance and best practices; it does not directly modify resources or execute changes in your cloud account.