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Aws Agentic Ai

Checked
langbaseinc·vlatest·cloud·MIT

Helps with AWS, AI as part of deploying and managing cloud infrastructure workflows.

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 commandcodeai/agent-skills --skill aws-agentic-ai -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

langbaseinc

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 langbaseinc/agent-skills at f490dd9016.

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

Commit
f490dd9016
Manifest
skills/aws-agentic-ai/SKILL.md
Scanned
13 files, 3,280 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 enables AI agents to interact with and manage AWS resources. It allows agents to perform tasks such as creating S3 buckets, launching EC2 instances, and managing IAM roles, all through natural language prompts. The agent can automate cloud infrastructure management workflows and respond to requests related to AWS services.

When to use it

  • Automating the creation of new development environments in AWS.
  • Responding to user requests for specific AWS resources (e.g., "Create an S3 bucket for storing backups").
  • Troubleshooting issues by querying AWS service status and configurations.
  • Managing existing infrastructure, such as scaling EC2 instances based on demand.

Key capabilities

  • AWS Resource Creation: Ability to create various AWS resources like S3 buckets and EC2 instances.
  • IAM Role Management: Can manage IAM roles for secure access control.
  • Natural Language Interface: Understands and responds to natural language prompts related to AWS tasks.
  • Automated Workflows: Automates cloud infrastructure management workflows.

Example prompts

  • "Create an S3 bucket named 'my-backup-bucket' in the us-east-1 region."
  • "Launch a t2.micro EC2 instance with Ubuntu 20.04."
  • “What is the status of my EC2 instances?”

Tips & gotchas

The agent requires appropriate AWS credentials and permissions to perform actions. Ensure the agent has access to the necessary resources before use.