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Aws Cloud

Checked
dauquangthanh·vlatest·cloud·MIT

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 dauquangthanh/hanoi-rainbow --skill aws-cloud -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

dauquangthanh

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 dauquangthanh/hanoi-rainbow at 0e2ebaea02.

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

Scanned
3 files, 1,029 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 provides access to Amazon Web Services (AWS) functionalities within an AI agent. It allows users to interact with and manage AWS resources, such as creating EC2 instances, managing S3 buckets, and retrieving information about their AWS environment. The skill aims to simplify common cloud management tasks through natural language interaction.

When to use it

  • Provisioning infrastructure: Quickly spin up new servers or storage solutions without manual console navigation.
  • Monitoring resource usage: Check current costs, available capacity, and performance metrics for your AWS services.
  • Automating routine tasks: Schedule backups of S3 buckets or automatically scale EC2 instances based on demand.
  • Troubleshooting issues: Retrieve logs and error messages from AWS services to diagnose problems.

Key capabilities

  • EC2 instance management (creation, listing, termination)
  • S3 bucket operations (listing, creation, deletion)
  • Resource information retrieval (costs, status)
  • Automated task scheduling

Example prompts

  • "Create a new EC2 instance in us-east-1 with t2.micro."
  • "List all S3 buckets in my account."
  • "What is the current cost of my EC2 instances?"
  • “Schedule a backup of my data bucket every Sunday at 2 AM.”

Tips & gotchas

  • Requires appropriate AWS credentials to be configured for the AI agent.
  • Be mindful of potential costs when creating or modifying resources; always double-check your requests.