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Aws Ami Builder

Official
hashicorp·vlatest·cloud·MPL-2.0

Official hashicorp skill for AWS — helps with 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 hashicorp/agent-skills --skill aws-ami-builder -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

hashicorp

Matched to the vendor's own GitHub organisation.

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 hashicorp/agent-skills at f706481af9.

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

Commit
f706481af9
Manifest
plugins/packer/skills/aws-ami-builder/SKILL.md
Scanned
1 file, 161 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-ami-builder skill enables AI agents to create and manage Amazon Machine Images (AMIs) on AWS. It automates tasks like provisioning instances, installing software, and packaging configurations into reusable AMIs.

When to use it

  • Automating the creation of consistent development or production environments in AWS.
  • Preparing custom AMIs for deployment across multiple regions or accounts.
  • Streamlining the setup of new EC2 instances with pre-installed tools and configurations.

Key capabilities

  • Builds AMIs from scratch using predefined templates or scripts.
  • Integrates with AWS APIs to manage instance creation, configuration, and image packaging.
  • Supports automation of post-installation tasks like software installation and system configuration.

Example prompts

  • "Create an AMI with Ubuntu 20.04, Apache installed, and configured for a web application."
  • "Build a custom AMI that includes Python 3.8, Flask, and PostgreSQL."
  • "Generate an AMI from the latest EC2 instance running in my AWS account."

Tips & gotchas

  • Ensure your AI agent has proper AWS credentials and permissions to interact with EC2 and AMI services.
  • Be mindful of costs associated with creating and storing multiple AMIs in AWS.