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Beanstalk Deploy

Checked
pr-pm·vlatest·devops·MIT

Automates deployment of code changes to production via Beanstalk, streamlining releases and reducing manual effort.

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 pr-pm/prpm --skill beanstalk-deploy -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

pr-pm

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 pr-pm/prpm at 50dfeb8f46.

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

Commit
50dfeb8f46
Manifest
.claude/skills/beanstalk-deploy/SKILL.md
Scanned
1 file, 103 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 beanstalk-deploy skill automates deployments to Beanstalk environments. It handles tasks like updating application versions, managing environment configurations, and triggering health checks. This allows for streamlined and repeatable deployment processes directly from an AI agent's workflow.

When to use it

  • Deploying a new version of your application to a staging or production Beanstalk environment.
  • Rolling back to a previous application version in case of issues after a deployment.
  • Updating the configuration settings (e.g., instance type, security groups) of an existing Beanstalk environment.
  • Triggering health checks and verifying the successful deployment of your application.

Key capabilities

  • Application Version Updates
  • Environment Configuration Management
  • Health Check Triggering
  • Rollback to Previous Versions

Example prompts

  • "Deploy version 1.2.3 of my app to the staging environment."
  • "Roll back the Beanstalk application to version 1.1."
  • "Update the instance type for my production Beanstalk environment to t3.medium."

Tips & gotchas

Ensure you have appropriate AWS credentials configured and that your AI agent has permissions to interact with Beanstalk resources. The skill requires a basic understanding of Beanstalk environments and application versions.