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Using Cloud Cli

Checked
julianobarbosa·vlatest·cloud·MIT

This skill automates cloud resource management via CLI commands, streamlining deployments and reducing manual effort for efficient operations.

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 julianobarbosa/claude-code-skills --skill using-cloud-cli -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

julianobarbosa

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 julianobarbosa/claude-code-skills at 57f5fe8c0d.

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

Commit
57f5fe8c0d
Manifest
skills/using-cloud-cli/SKILL.md
Scanned
4 files, 320 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

The using-cloud-cli skill enables AI agents to interact directly with cloud infrastructure via command-line interfaces. It allows the agent to execute system commands, manage resources, and automate deployment tasks without manual intervention.

When to use it

  • Automating repetitive server maintenance tasks like log rotation or service restarts.
  • Deploying updates to containerized applications across multiple environments.
  • Provisioning new cloud instances or scaling existing ones based on load metrics.
  • Troubleshooting infrastructure issues by running diagnostic commands remotely.

Key capabilities

  • Execute shell commands within cloud environments securely.
  • Manage cloud resources such as databases, storage buckets, and compute instances.
  • Automate configuration changes across distributed systems.
  • Integrate with popular cloud providers' CLI tools for streamlined operations.

Example prompts

  • "Deploy the latest version of my web application to the production server using the cloud CLI."
  • "Check the status of all running services on the primary database instance and restart any that are down."
  • "Provision a new virtual machine with 4 vCPUs and 16GB RAM in the us-east-1 region."

Tips & gotchas

Ensure your AI agent has proper authentication credentials configured before attempting to execute cloud commands. Always review command outputs carefully, as automated actions can lead to unintended infrastructure changes if not properly constrained.