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/web-to-markdown

@1fb6ec5
by Rookierookie-ricardo/erduo-skills940 stars
88
Run it yourself

Convert a web URL into cleaned Markdown with deterministic routing. Use when Codex needs to read article-like content from links and should apply source-aware fetch strategies: default to r.jina.ai for general pages (including X/Twitter), use defuddle.md for YouTube links, and use browser-impersonated extraction for WeChat/Zhihu/Feishu pages with Mozilla Readability cleanup.

Use this Skill: https://skilld.dev/gh/rookie-ricardo/erduo-skills/web-to-markdown

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

SKILL.md

≈99 tokens for metadata: the name and description. ≈788 when used: this file. ≈23k more on demand in 4 files.

Description uses 4.9% of example budget

Before choosing a Skill, your Agent reads its name and description. All available Skills share that space.

  • A shorter description leaves more room for other Skills. This entry exceeds our 1% size suggestion.

In our Claude Code example, all Skill names and descriptions share 8,000 characters. This Skill uses ≈395 characters, or 4.9%.

The 1% threshold is a size suggestion. Longer descriptions can still fit.

Your model, settings, and other Skills decide how much text your Agent can read.

Example settings and source

The example uses a 200k-token context and default Claude Code settings. The count includes the name, description, separators, and when_to_use when present. Codex also counts local file paths.

Skit's source and limits: Codex 0.160.1, Claude Code 2.1.292.

Web To Markdown

Convert URLs into usable Markdown by applying domain-aware fetching routes, then return the cleaned content directly.

Quick Workflow

  1. Normalize and validate the input URL.
  2. Select route:
  • r.jina.ai: general web + X/Twitter.
  • defuddle.md: YouTube transcript/content extraction.
  • special-browser-fetch: WeChat/Zhihu/Feishu.
  1. Return markdown text (or JSON metadata if needed).

For generic URLs (non-YouTube, non-WeChat/Zhihu/Feishu), use this fallback chain:

  • try r.jina.ai first,
  • if it fails, fallback to direct HTTP fetch + Readability,
  • if direct fetch still fails or returns shell-like content, fallback to browser extraction.

Commands

Run from this skill directory (skills/web-to-markdown):

npm install
node scripts/url_to_markdown.mjs <url>

Return metadata with markdown:

node scripts/url_to_markdown.mjs <url> --json

Force special-site browser extraction:

node scripts/fetch_special_sites.mjs <url> --json

Routing Policy

  • Default route: https://r.jina.ai/<url>.
  • YouTube (youtube.com, youtu.be): https://defuddle.md/<url>.
  • X/Twitter (x.com, twitter.com): https://r.jina.ai/<url>.
  • WeChat/Zhihu/Feishu: run scripts/fetch_special_sites.mjs.
  • If input is already proxy-formatted (https://defuddle.md/https://... or https://r.jina.ai/https://...), normalize back to the original URL and re-apply routing.

Special-Site Extraction Behavior

Use a two-stage strategy for WeChat/Zhihu/Feishu:

  1. Try cuimp HTTP/TLS impersonation first, then clean HTML with Mozilla Readability.
  2. If stage 1 fails or returns blocked/shell content, fallback to puppeteer-extra browser impersonation.
  • HTTP stage impersonates modern Chrome TLS/HTTP profile via cuimp.
  • Browser stage impersonates a modern Chrome user agent and standard sec-ch-ua headers.
  • Remove known login modals and backdrop overlays (best effort).
  • Scroll the page to trigger lazy-loaded article blocks.
  • Parse cleaned document with Mozilla Readability.
  • Convert extracted HTML body to Markdown via Turndown.
  • Resolve browser executable from CHROME_PATH first, then system Chrome/Chromium/Edge paths.

If special-site extraction fails due to anti-bot checks, account-only pages, or network limits, report failure clearly and ask for fallback input (for example raw page text).

Output Contract

For normal usage, output markdown only.

When --json is used, return:

  • source: backend source (r.jina.ai, defuddle, cuimp, browser-readability).
  • strategy: selected route (r-jina, defuddle, special-http-fetch, special-browser-fetch-fallback).
  • requestedUrl: original input.
  • resolvedUrl: normalized/final URL.
  • markdown: extracted markdown body.

Resources

  • references/routing-and-notes.md: domain routing rules and operational caveats.
  • scripts/url_to_markdown.mjs: primary entrypoint.
  • scripts/fetch_special_sites_http.mjs: WeChat/Zhihu/Feishu HTTP impersonation fetcher (cuimp JS).
  • scripts/fetch_special_sites.mjs: two-stage extractor (HTTP-first, browser-fallback).

Source: SKILL.md on GitHub

Skill behaviors

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

Third-party checks

2 warnings27d3 checks · Risk SAFE
  • Gen Agent Trust Hub27d

    This skill is safe for its intended purpose of converting web content to Markdown. It employs various fetching strategies including proxies and browser automation. The only notable concern is the inherent risk of indirect prompt injection from the web content being processed.

  • Socket27d

    1 alert: gptAnomaly

  • Snyk27d

    Risk: MEDIUM · 2 issues

Provenance

Signed by skilld at 1fb6ec5. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last week.

Steadyupdated 6 months ago

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