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Create Cli

Checked
jakenuts·vlatest·backend·MIT

Generates command-line interface scripts from natural language descriptions, streamlining task automation workflows.

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 jakenuts/agent-skills --skill create-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

jakenuts

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 jakenuts/agent-skills at 10749bf616.

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

Commit
10749bf616
Manifest
skills/create-cli/SKILL.md
Scanned
2 files, 334 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 jakenuts-create-cli skill allows AI agents to generate command-line interface (CLI) applications. It automates the creation of project scaffolding, including files and dependencies, based on user-defined specifications. This simplifies the process of building CLIs from scratch, saving time and ensuring consistency.

When to use it

  • Rapid prototyping: Quickly create a basic CLI tool for testing or demonstration purposes.
  • Automated tooling generation: Generate custom CLIs for specific tasks within a workflow.
  • Educational projects: Facilitate learning about CLI development by providing a starting point and structure.
  • Standardized project setup: Ensure all new CLI projects adhere to a consistent coding style and directory structure.

Key capabilities

  • Project scaffolding generation
  • Automated dependency management
  • CLI application creation
  • File and directory structure creation

Example prompts

  • "Create a CLI tool for managing my todo list."
  • "Generate a project with a command to fetch data from an API."
  • "Build a simple CLI that prints 'Hello, world!'"

Tips & gotchas

The skill's output is dependent on the clarity and completeness of the user’s prompt. Providing detailed specifications for desired functionality will yield better results.