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Linux Troubleshooting

Checked
aaaaqwq·vlatest·testing·MIT

Diagnoses and resolves common Linux issues quickly, saving time and ensuring system stability for users and administrators.

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 aaaaqwq/agi-super-team --skill linux-troubleshooting -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

aaaaqwq

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 aaaaqwq/claude-code-skills at 331ecd3c1d.

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

Scanned
1 file, 196 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

This skill allows an AI agent to diagnose and resolve common Linux system issues. It can analyze error messages, interpret log files, and suggest corrective actions based on standard troubleshooting procedures. The agent can also provide explanations of technical concepts related to the identified problem.

When to use it

  • You're encountering a cryptic error message during software installation or execution.
  • A Linux server is experiencing performance degradation and you need help identifying bottlenecks.
  • You suspect a misconfiguration in system services, but lack the expertise to diagnose it yourself.
  • You are facing issues with network connectivity on a Linux machine.

Key capabilities

  • Error message analysis
  • Log file interpretation
  • System configuration review
  • Troubleshooting procedure suggestions
  • Technical concept explanation

Example prompts

  • "My system is reporting 'Connection refused'. Can you help me troubleshoot?"
  • "I'm seeing high CPU usage on my server. What could be causing this?"
  • "Explain what a 'kernel panic' means and how to recover from it."

Tips & gotchas

The skill relies on accurate error messages and log file content for effective diagnosis. Providing complete and relevant information will improve the quality of its suggestions.