url-fetcher

What problem does it solve?

This Skill automates the tedious process of retrieving and cleaning text from arbitrary web pages so you can quickly read, summarize, analyze, or cite online content without manually stripping navigation, scripts, and boilerplate HTML.

Core Features & Use Cases

• Fetch and Extract Clean Text: Retrieves a URL and returns the page title and cleaned textual content suitable for NLP tasks and summaries.
• Flexible Output Options: Optionally include raw HTML, and limit the returned text size with max_length for fast previews or full extracts.
• Robust Error Feedback: Times out after 30 seconds and returns structured JSON with a success flag and error details for unreachable or non-200 responses.
• Use Case: Ideal for researchers, content teams, or agents that need canonical text for citation, summarization, or downstream analysis of articles, docs, or postings.

Quick Start

Use the url-fetcher to fetch and extract the main text and title from https://example.com/article and return cleaned content with citations when relevant.