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Aws Advisor

Listed
tech-leads-club·vlatest·cloud

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

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 tech-leads-club/agent-skills --skill aws-advisor -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

tech-leads-club

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: calculator.aws.

    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.

    Hosts contacted

    calculator.awsundeclared

    What it found (3 of 11)

    • packages/skills-catalog/skills/(cloud)/aws-advisor/scripts/cost_considerations.py:37contacts calculator.aws
      "calculator_link": "https://calculator.aws/#/addService/Lambda"
    • packages/skills-catalog/skills/(cloud)/aws-advisor/scripts/cost_considerations.py:56contacts calculator.aws
      "calculator_link": "https://calculator.aws/#/addService/APIGateway"
    • packages/skills-catalog/skills/(cloud)/aws-advisor/scripts/cost_considerations.py:80contacts calculator.aws
      "calculator_link": "https://calculator.aws/#/addService/DynamoDB"
  • 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 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 tech-leads-club/agent-skills at 6df68d5202.

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

Scanned
9 files, 2,390 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

The aws-advisor skill enables AI agents to interact with AWS services, providing guidance and assistance specifically tailored to Amazon Web Services infrastructure. It acts as a specialized consultant within the cloud domain, helping users navigate complex AWS environments through direct integration.

When to use it

  • You need expert-level advice on configuring specific AWS services like EC2, S3, or Lambda without consulting external documentation.
  • Your AI agent is managing cloud infrastructure and requires real-time validation of best practices for security and cost optimization.
  • You are building a chatbot that must answer technical questions regarding AWS architecture patterns and service limits.
  • You want to automate troubleshooting workflows where the agent can reference official AWS capabilities to diagnose issues.

Key capabilities

  • Provides context-aware responses grounded in current AWS service documentation and features.
  • Offers strategic recommendations for cloud architecture design and implementation.
  • Assists in interpreting complex AWS console outputs or CLI commands.
  • Delivers tailored guidance based on specific AWS account configurations or use cases.

Example prompts

  • "Analyze my current EC2 instance setup and suggest optimizations for cost reduction."
  • "What are the best practices for securing an S3 bucket used for public website hosting?"
  • "Explain how to set up a serverless architecture using AWS Lambda and API Gateway for a REST API."

Tips & gotchas

Ensure your AI agent has access to the latest AWS documentation or knowledge base, as cloud services evolve rapidly. While this skill provides strong guidance, critical infrastructure changes should always be reviewed by human engineers before deployment in production environments.