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Generate_Command

Checked
ratacat·vlatest·other

Crafts precise system commands from natural language requests to control external tools and processes.

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 ratacat/claude-skills --skill generate_command -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

ratacat

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 ratacat/claude-skills at d4b471d05d.

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

Scanned
1 file, 157 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 generate_command skill allows an AI agent to produce shell commands based on natural language instructions. It can translate user requests into executable code, automating tasks and simplifying complex operations. This is particularly useful for system administration or running scripts without needing direct command line knowledge.

When to use it

  • Automated file management: Ask the agent to "move all .txt files from Downloads to Documents."
  • System updates: Request the agent to "update all installed packages on Ubuntu."
  • Running scripts: Instruct the agent to “execute the backup script located in /scripts.”
  • Simple server administration: Have the agent restart a specific service, like "restart the Apache webserver."

Key capabilities

  • Command generation from natural language.
  • Support for various operating systems (implied).
  • Ability to execute scripts and programs.

Example prompts

  • “Create a directory called 'project_files' in my home folder.”
  • "List all files larger than 1MB in the current directory."
  • "Run the python script named 'process_data.py'."

Tips & gotchas

The agent’s ability to generate safe and correct commands depends heavily on the clarity of your instructions. Be specific about file paths, program names, and desired actions to avoid unintended consequences.