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Markdown Token Optimizer

Official
microsoft·vlatest·writing

Refines markdown text for improved readability, accessibility, and consistent formatting across platforms.

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 microsoft/github-copilot-for-azure --skill markdown-token-optimizer -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

microsoft

Matched to the vendor's own GitHub organisation.

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 microsoft/github-copilot-for-azure at f2526ae581.

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

Commit
f2526ae581
Manifest
.github/skills/markdown-token-optimizer/SKILL.md
Scanned
3 files, 320 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 optimizes Markdown content to reduce token usage, helping AI agents process documents more efficiently. It automatically detects and restructures verbose formatting without altering the original meaning or intent of the text.

When to use it

  • Processing large documentation files where token limits are a constraint.
  • Reducing costs associated with high-volume LLM inference on static content.
  • Preparing lengthy reports for summarization tasks to ensure full context retention.
  • Cleaning up Markdown generated by other tools that may contain redundant syntax.

Key capabilities

  • Analyzes input Markdown for token-heavy patterns and formatting inefficiencies.
  • Restructures content to maintain semantic integrity while minimizing character count.
  • Optimizes headers, lists, and block elements for compact representation.

Example prompts

  • "Optimize this 50-page technical specification in Markdown to fit within a 4k token limit."
  • "Run the markdown-token-optimizer on this blog post draft to reduce inference costs before sending it to the model."
  • "Compress this project documentation while ensuring all code blocks and headers remain accurate."

Tips & gotchas

Ensure the source Markdown is valid before optimization, as structural errors might be compounded during compression. This tool focuses on efficiency; if specific stylistic flair or verbose explanations are required for human readers, review the output to confirm no critical nuance was lost in the token reduction.