agentleFS
kenmickkenmick/skills/web-fetcher/SKILL.md

web-fetcher

Skill34 starsChanged 8 months agoMITView on GitHub

Fetch web page content as clean markdown/text from a URL. Use when the user provides a URL and wants to read, extract, or analyze its content. Triggers on requests like "fetch this page", "read this URL", "grab the content from", "summarize this article", or any task requiring web page text extraction.

2 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. jiahao-shao1/sjh-skills★ 43same name
    2. Jay-Chen79/claude-skills★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the fetch script:

    line 12

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Web Fetcher

Extract web page content as clean text/markdown from a given URL.

Usage

Run the fetch script:

python3 <skill-path>/scripts/fetch.py <url>

Save to file:

python3 <skill-path>/scripts/fetch.py <url> -o output.md

Fallback Chain

The script tries these sources in order, falling back on failure:

  1. Jina Reader (https://r.jina.ai/{url}) — best markdown quality
  2. defuddle.md (https://defuddle.md/{url})
  3. markdown.new (https://markdown.new/{url})
  4. Raw HTML — direct fetch as last resort

Progress and errors are printed to stderr. Only the final content goes to stdout.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.