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Aws Well Architected Framework

Checked
rameshvr·vlatest·cloud

Provides AWS guidance and assistance for deploying and managing cloud infrastructure.

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 rameshvr/skills --skill aws-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

rameshvr

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 rameshvr/aws-well-architected-framework-skill at a536155457.

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

Commit
a536155457
Manifest
aws-well-architected-framework/SKILL.md
Scanned
1 file, 616 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

What it does

This skill allows AI agents to assess and provide guidance based on the AWS Well-Architected Framework. It helps users evaluate their cloud architectures against best practices, identify potential areas for improvement in pillars like Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. The skill can generate reports and recommendations aligned with these architectural principles.

When to use it

  • Architecture Review: Before deploying a new application or service on AWS, get an initial assessment of its design.
  • Optimization Planning: Identify areas where existing infrastructure can be improved for cost savings or performance gains.
  • Security Posture Evaluation: Evaluate the security controls implemented in your AWS environment against industry best practices.
  • Compliance Alignment: Ensure your architecture aligns with specific compliance requirements using the framework's guidance.

Key capabilities

  • Assesses cloud architectures based on the six pillars of the Well-Architected Framework.
  • Generates reports detailing architectural strengths and weaknesses.
  • Provides recommendations for improvement aligned with AWS best practices.
  • Supports evaluation across Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

Example prompts

  • "Assess my current EC2 setup against the Well-Architected Framework."
  • "Generate a report on how to improve the cost efficiency of my S3 storage."
  • "What are the security recommendations for a serverless application using Lambda?"

Tips & gotchas

  • The skill's effectiveness depends on providing detailed information about your AWS architecture. Be prepared to describe components, configurations, and dependencies.