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Qmd

Checked
levineam·vlatest·writing

Qmd processes Markdown files, transforming them into various formats like HTML or PDF for seamless content delivery and conversion.

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 levineam/qmd-skill --skill qmd -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

levineam

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 levineam/qmd-skill at a2daa499d2.

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

Commit
a2daa499d2
Manifest
SKILL.md
Scanned
2 files, 130 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, qmd, allows AI agents to process and potentially execute queries defined in a custom query language. The exact nature of these queries is not fully detailed but implies the ability to handle structured requests beyond simple text generation. It's designed for specialized tasks where more formal instruction or data manipulation is required.

When to use it

  • Automating repetitive data entry processes based on specific, defined rules.
  • Executing complex calculations or transformations within a controlled environment.
  • Responding to user requests that require structured actions rather than free-form text generation.
  • Integrating with systems requiring precise command execution.

Key capabilities

  • Query processing via a custom query language (qmd).
  • Potential for automated task execution based on qmd queries.
  • Structured request handling beyond standard text generation.

Example prompts

  • "Execute the following qmd query: [query details here]."
  • "Process this data using the 'qmd' skill and return the results."
  • "Translate this instruction into a qmd query for automated execution."

Tips & gotchas

The specific syntax and capabilities of the "qmd" language are not documented, so understanding its structure is crucial for effective use. Expect a learning curve associated with mastering the query language itself.