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Administering Linux

Listed
ancoleman·vlatest·other·MIT

This skill helps you administer Linux systems, streamlining tasks and improving server management efficiency for technical users.

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 ancoleman/ai-design-components --skill administering-linux -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

ancoleman

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No credential access: failed

    Touches credential material in 6 places.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found (3 of 6)

    • skills/administering-linux/references/security-hardening.md:31SSH private keys or config
      cat ~/.ssh/id_ed25519.pub | ssh user@server "mkdir -p ~/.ssh && cat >> ~/.ssh/authorized_keys"
    • skills/administering-linux/references/security-hardening.md:37SSH private keys or config
      chmod 700 ~/.ssh
    • skills/administering-linux/references/security-hardening.md:38SSH private keys or config
      chmod 600 ~/.ssh/id_ed25519
  • 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 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 ancoleman/ai-design-components at 76551b7b19.

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

Scanned
9 files, 4,424 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 administering-linux skill enables AI agents to execute system-level commands, manage processes, and configure environments directly on Linux servers. It bridges the gap between high-level planning and actual infrastructure changes by allowing agents to interact with the terminal for deployment and maintenance tasks.

When to use it

  • Automating routine server maintenance like log rotation or user account creation.
  • Deploying applications by installing dependencies, compiling code, or updating packages.
  • Troubleshooting system issues by running diagnostic commands and analyzing output in real-time.
  • Configuring network settings or modifying system files to meet specific security policies.

Key capabilities

  • Execution of shell commands across various Linux distributions.
  • Direct interaction with the operating system kernel and file systems.
  • Management of running processes and service states.
  • Handling of package installation and removal workflows.

Example prompts

  • "Install Node.js version 20 on this Ubuntu server using the official repository."
  • "Check the disk usage for all mounted volumes and alert if any exceed 80% capacity."
  • "Restart the nginx web service and verify it is listening on port 80."

Tips & gotchas

Ensure the AI agent has appropriate sudo privileges or root access before attempting administrative tasks to avoid permission errors. Always validate command outputs, as agents may misinterpret complex error logs without explicit guidance on how to handle them.