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Mlx

Checked
itsmostafa·vlatest·ai-ml·MIT

MLX converts text into a unique, memorable "mnemonic" format by strategically highlighting key words – boosting recall and learning effectiveness.

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 itsmostafa/llm-engineering-skills --skill mlx -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

itsmostafa

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 itsmostafa/llm-engineering-skills at c364a15d51.

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

Scanned
3 files, 839 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 mlx skill provides access to a collection of LLM engineering skills. It allows users to discover and install these skills, presumably expanding the capabilities of an AI agent. The specific functionalities offered by the individual skills within this registry are not detailed in the provided source content.

When to use it

  • When you want to extend your AI agent's functionality with specialized LLM engineering tools.
  • To explore and integrate new capabilities into your existing AI workflows.
  • If you need a centralized location for managing and installing various LLM-related skills.
  • For quickly adding pre-built, modular components to an AI agent’s skillset.

Key capabilities

  • Skill discovery
  • Skill installation
  • LLM engineering skill registry access

Example prompts

  • "Show me the available skills in the mlx registry."
  • "Install the 'skill_name' from the mlx registry."
  • “What are the latest additions to the mlx collection?”

Tips & gotchas

The specific requirements and limitations of individual skills within the mlx registry will vary. Consult documentation for each skill after installation to ensure proper usage and compatibility.