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
- jiahao-shao1/sjh-skillstheir own version, first seen Apr 25, 2026
- Jay-Chen79/claude-skillstheir own version, first seen Feb 2, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- jiahao-shao1/sjh-skills★ 43same name
- 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
- Distinctive: line 12
Run the fetch script:
≈ “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.
Files
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.mdFallback Chain
The script tries these sources in order, falling back on failure:
- Jina Reader (
https://r.jina.ai/{url}) — best markdown quality - defuddle.md (
https://defuddle.md/{url}) - markdown.new (
https://markdown.new/{url}) - Raw HTML — direct fetch as last resort
Progress and errors are printed to stderr. Only the final content goes to stdout.
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
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.

