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Agent Md Refactor

Checked
dodatech·vlatest·writing

Refactors Markdown documents for improved readability, consistency, and adherence to style guidelines using AI.

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 fefogarcia/approved-skills --skill agent-md-refactor -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

dodatech

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 dodatech/approved-skills at 2da55c784b.

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

Scanned
1 file, 272 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 refactors Markdown documents, improving readability and structure. It can automatically correct common formatting errors, standardize headings, and optimize lists within a given document. The goal is to produce cleaner, more consistent Markdown output suitable for publishing or further processing.

When to use it

  • You have a large collection of Markdown files with inconsistent formatting.
  • A colleague has provided you with a Markdown document that needs cleanup before publication.
  • You want to automatically standardize the style of Markdown documents generated by another tool.
  • You're preparing documentation for a project and need to ensure consistent formatting across all files.

Key capabilities

  • Markdown Formatting Correction
  • Heading Standardization
  • List Optimization

Example prompts

  • "Refactor this markdown document: [paste markdown content]"
  • "Clean up the Markdown in this file and improve its readability."
  • "Standardize the headings in this Markdown document to use level 2 or level 3 headings where appropriate."

Tips & gotchas

The skill is most effective when provided with complete Markdown documents. While it can handle snippets, full files generally yield better results due to context awareness.