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Cli Tool Development

Checked
autohandai·vlatest·backend·Apache-2.0

This skill automates CLI tool creation from prompts, accelerating software development and streamlining command-line utility generation.

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 autohandai/community-skills --skill cli-tool-development -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

autohandai

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 autohandai/community-skills at 75eaf75a36.

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

Scanned
1 file, 170 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 enables AI agents to develop command-line interface (CLI) tools. It can generate scripts, automate repetitive tasks through shell commands, and create custom utilities for specific workflows. The agent can handle various scripting languages and operating systems when building these CLI tools.

When to use it

  • Automating repetitive tasks: Need a script to rename hundreds of files? This skill can generate that.
  • Creating custom utilities: Want a tool to automate deployment steps or data processing? The agent can build it for you.
  • Generating shell scripts for system administration: Automate server management tasks with generated scripts.
  • Rapid prototyping of command-line tools: Quickly create and test CLI tool concepts before full development.

Key capabilities

  • Script generation in various languages (not specified)
  • Shell command automation
  • Cross-platform compatibility (not specified)
  • Custom utility creation

Example prompts

  • "Create a bash script to back up my website database daily."
  • "Generate a Python CLI tool that converts CSV files to JSON format."
  • "Write a shell script to automate the process of deploying a Docker container."

Tips & gotchas

The quality of the generated CLI tools depends heavily on the clarity and specificity of your prompts. Providing detailed requirements and examples will lead to better results.