Pullmd

What it does

When your agent uses it

• You need to fetch
• Summarize content from a URL — web articles
• PDF/Word/PowerPoint/Excel/EPUB documents
• YouTube transcripts

Example prompts

• “read this page”
• “what does this URL say”
• “fetch this article”
• “/pullmd”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

1. 1Fetch via PullMD
2. 2Check if it worked
3. 3Fallback to WebFetch

What it can do on your machine

Read from SKILL.md and the folder at commit 64abf90. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • curl

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • reddit.com
  • youtube.com
  • mistral.ai

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pullmd loads about 2.6k tokens when it runs. Until then it costs about 174 tokens; SKILL.md has 970 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~174

When it runs · the whole SKILL.md, loaded when a task matches

~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AeternaLabsHQ/pullmd at commit 64abf90, republished under its AGPL-3.0 licence (© AeternaLabsHQ). 970 words, ~2,630 tokens.

name

pullmd

description

Read any web page, document, or YouTube video as clean Markdown using PullMD. Use this skill whenever you need to fetch, read, extract, or summarize content from a URL — web articles, Reddit threads, PDF/Word/PowerPoint/Excel/EPUB documents, or YouTube transcripts. This includes when the user says 'read this page', 'what does this URL say', 'fetch this article', 'summarize this PDF', 'get the transcript of this video', or when you need web content as context for another task. Also use this when WebFetch fails or returns poor results — PullMD produces cleaner Markdown than raw HTML parsing. Do NOT use this for GitHub URLs (use gh CLI instead) or for API endpoints that return JSON.

curl -s "__PULLMD_URL__/api?url=<URL>"

# Read an article
curl -s "__PULLMD_URL__/api?url=https://example.com/article"

# Read a Reddit post with comments
curl -s "__PULLMD_URL__/api?url=https://reddit.com/r/node/comments/abc/title/&comments=true"

# Convert a PDF / Office document by URL
curl -s "__PULLMD_URL__/api?url=https://example.com/report.pdf"

# Table-heavy PDF via the OCR tier (if enabled on the instance)
curl -s "__PULLMD_URL__/api?url=https://example.com/report.pdf&pdf=ocr"

# YouTube transcript with clickable timecodes (if enabled on the instance)
curl -s "__PULLMD_URL__/api?url=https://www.youtube.com/watch?v=dQw4w9WgXcQ"

# Long page, but you only need one thing: get just the relevant sections
curl -s "__PULLMD_URL__/api?url=https://example.com/long-doc&query=rate+limit+headers&max_tokens=800"

# Get fresh (uncached) content
curl -s "__PULLMD_URL__/api?url=https://example.com/news&nocache=true"

# Force the Playwright fallback for a JS-rendered page that didn't trigger
# the auto-detection (or where you want to be sure)
curl -s "__PULLMD_URL__/api?url=https://mistral.ai/pricing&render=force"

# Convert a local HTML file you already have (never cached, no share link; X-Filename keeps the name out of access logs)
curl -s -X POST --data-binary @page.html -H 'Content-Type: text/html' -H 'X-Filename: page.html' "__PULLMD_URL__/api/html"

# Upload a local document (PDF/DOCX/…, max 25 MB)
curl -s -X POST --data-binary @report.pdf -H 'Content-Type: application/pdf' -H 'X-Filename: report.pdf' "__PULLMD_URL__/api/file"

WebFetch(url="<URL>", prompt="Extract the main content of this page")

Need to read a URL?
├── Is it a GitHub URL? → Use `gh` CLI instead
├── Is it a JSON API? → Use curl/fetch directly
└── Anything else (web page, PDF/Office doc, YouTube, image, audio):
    ├── Try: curl PullMD API
    │   ├── Success (got Markdown) → Use it
    │   └── Failed (error/timeout/empty) → Fallback below
    └── Fallback: WebFetch tool (web pages only)

© AeternaLabsHQ, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skill/pullmd/skills/pullmd of AeternaLabsHQ/pullmd.

Open the folder on GitHubat commit 64abf90