cercano-fetch

Fetch a URL and return HTML-stripped plain text locally.

8|1|Updated Nov 23, 2025

Search Tags:#readability #offline #fetch #local #web #text-extraction

Ready to run

npx skills add https://github.com/bryancostanich/Cercano --skill cercano-fetch

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cercano-fetch
Source: https://github.com/bryancostanich/Cercano/tree/main/plugins/skills/cercano-fetch
Command: npx skills add https://github.com/bryancostanich/Cercano --skill cercano-fetch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Read web pages locally and extract readable text without sending content to the cloud.

Core Features & Use Cases

Local text extraction from web pages with HTML stripped and structure preserved.
Context-aware reads by optionally passing a project_dir to tailor responses to your workspace.
Use case: quickly extract article text or documentation from a URL for offline analysis.

Quick Start

Ask cercano-fetch to read the content at a specific URL and return the plain text locally.

Frequently Asked Questions about cercano-fetch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract readable text from a web page locally without cloud transfer?▼

Local text extraction from a URL fetches web content and strips HTML to return plain text, avoiding cloud transfers entirely while preserving basic document structure for offline reading.

Can I read web page content offline for a specific project workspace?▼

Yes, reading web page content offline can be context-aware by optionally passing a project directory, which tailors the extracted plain-text responses specifically to your local workspace environment.

Do I need a specific server running to fetch and extract text from URLs locally?▼

Yes, fetching and extracting text from URLs locally requires the Cercano server to be running to process the web page requests and return the HTML-stripped content.

What is the best way to get plain text from a URL for offline analysis?▼

Getting plain text from a URL for offline analysis involves fetching the web page and stripping the HTML, which preserves basic structure while returning readable text suitable for local processing.

Does the local fetch approach preserve HTML structure when extracting article text?▼

The local fetch approach strips HTML to output plain-text content, but it preserves basic structural elements of the web page to maintain readable formatting for the extracted article text.

Why use local text extraction instead of cloud-based web page reading?▼

Local text extraction avoids cloud transfers when reading web pages, enabling context-aware use with a project directory and ensuring sensitive URL content remains entirely on your local machine for offline processing.