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Qmd Knowledge

Checked
jellydn·vlatest·writing·MIT

Qmd Knowledge extracts structured information from Markdown files (qmd) to build a dynamic, searchable knowledge base – ideal for documentation & data analysis.

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 jellydn/my-ai-tools --skill qmd-knowledge -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

jellydn

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 jellydn/my-ai-tools at 04c25c69ca.

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

Commit
04c25c69ca
Manifest
skills/qmd-knowledge/SKILL.md
Scanned
8 files, 1,220 lines
Copies in repo
2 — all of them scanned
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 allows AI agents to process and understand QMD (Quick Markdown Document) files. It can extract information, summarize content, and answer questions based on the data contained within these documents. The agent can also generate new QMDs from structured data or text prompts.

When to use it

  • Document Summarization: Quickly get a summary of a lengthy QMD document without reading the entire file.
  • Data Extraction: Extract specific pieces of information (e.g., dates, names, key findings) from QMD files.
  • QMD Generation: Create new QMD documents programmatically based on data or instructions.
  • Knowledge Base Integration: Use QMDs as a lightweight knowledge base for your AI agent to draw upon.

Key capabilities

  • QMD parsing and interpretation
  • Information extraction from QMD content
  • QMD summarization
  • QMD generation from text prompts or data

Example prompts

  • "Summarize the key findings in this QMD file: [file contents]"
  • "Extract all dates mentioned in this QMD document."
  • "Create a new QMD outlining the steps for onboarding a new employee, including sections for paperwork and training."

Tips & gotchas

The skill's effectiveness depends on the structure and clarity of the QMD files. Complex or poorly formatted QMDs may lead to inaccurate results.