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Createcli

Listed
danielmiessler·vlatest·backend·MIT

Createcli generates command-line interface (CLI) definitions from YAML files, streamlining development and ensuring consistent CLI structures.

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 danielmiessler/lifeos --skill createcli --full-depth -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

danielmiessler

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 danielmiessler/personal_ai_infrastructure at 5e2f2e8c0a.

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

Commit
5e2f2e8c0a
Manifest
LifeOS/install/skills/CreateCLI/SKILL.md
Scanned
0 files
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

CreateCLI enables AI agents to generate and install custom command-line tools directly within their environment. It streamlines the development workflow by allowing agents to build executable scripts on demand without manual setup.

When to use it

  • Automating repetitive system administration tasks across multiple servers.
  • Rapidly prototyping utility scripts for data processing or file manipulation.
  • Extending terminal capabilities with specialized tools tailored to specific project needs.
  • Deploying one-off debugging utilities that do not require permanent installation.

Key capabilities

  • Instant generation of executable CLI tools based on natural language descriptions.
  • Direct installation and execution of created scripts within the agent's runtime.
  • Support for various scripting languages commonly used in terminal environments.
  • Integration with existing personal AI infrastructure workflows defined by danielmiessler.

Example prompts

  • "Create a script that compresses all image files in the current directory and moves them to an archive folder."
  • "Generate a CLI tool to parse JSON logs and extract error messages into a CSV file."
  • "Build a utility that monitors disk usage and alerts if it exceeds 80% capacity."

Tips & gotchas

Ensure your AI agent has appropriate write permissions in the target directory before requesting script creation. Verify the generated code logic, as automated generation may not always account for edge cases or specific security constraints of your environment.