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Deployment

Checked
proompteng·vlatest·devops·MIT

Automates deployment of proompteng AI agents across environments, ensuring consistent configuration and rapid scaling.

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 proompteng/lab --skill deployment -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

proompteng

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 proompteng/lab at 6a37928f5a.

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

Commit
6a37928f5a
Manifest
skills/deployment/SKILL.md
Scanned
4 files, 173 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

Deployment (proompteng/lab)

What it does

This DevOps skill enables AI agents to deploy applications directly from the proompteng/lab repository. It streamlines the release process by automating the push of code changes to production or staging environments.

When to use it

  • Automate the deployment of new features built within the proompteng lab environment.
  • Trigger continuous integration pipelines when specific branches are updated in the repository.
  • Manage version releases without manual intervention for standard application updates.
  • Coordinate infrastructure changes alongside code pushes for seamless application launches.

Key capabilities

  • Direct deployment execution from the proompteng/lab source.
  • Integration with existing DevOps workflows for automated release cycles.
  • Support for managing application states across different environments.

Example prompts

  • "Deploy the latest changes from the proompteng/lab repository to the staging server."
  • "Initiate a deployment pipeline for the new feature branch in the lab environment."
  • "Roll out the current version of the application using the proompteng deployment configuration."

Tips & gotchas

Ensure your AI agent has the necessary permissions to access and modify the proompteng/lab repository before attempting deployment. Verify that the target environment is stable to prevent unintended service disruptions during automated pushes.