SkynetAgent - AI RAG and Search Tool

Overview

SkynetAgent is an AI-driven web agent hosted as a Hugging Face Space that visits webpages and extracts page content as formatted Markdown. According to the Hugging Face Space commit page, the project’s primary purpose is automated web content retrieval and conversion into structured Markdown suitable for notes, documentation, or downstream processing (source: https://huggingface.co/spaces/cyberosa/SkynetAgent/commit/e4f0a1de050a1242ccd7cd3517627c84830e779e). The publicly visible Space page and commit provide a short description but do not include comprehensive technical documentation, API endpoints, or published performance benchmarks. Where details are not disclosed on the Space commit page, implementation specifics (model architecture, hosting details, or supported integrations) are not publicly documented at that source.

Model Details

What is publicly documented: the Space implements an AI agent that visits webpages and extracts content into formatted Markdown (source: Hugging Face Space commit page). The commit page and Space listing do not disclose the underlying model architecture, exact NLP/model provider (e.g., OpenAI, local LLM), or the pipeline used to render or sanitize HTML-to-Markdown output. Hugging Face usage metadata available for the Space shows zero recorded downloads and zero likes as of the available metadata (source: Hugging Face Space listing/commit URL). No parameter counts, inference pipeline, or dependency list are published on the commit page; therefore, specific runtime requirements, model size, or GPU/CPU recommendations are not documented at the source.

Key Features

• Visits webpages and extracts main page content into Markdown
• Outputs structured Markdown suitable for notes or downstream processing
• Hosted as a Hugging Face Space for easy web-based access
• Automates web content retrieval for scraping or archival workflows
• Designed to produce human-readable, formatted Markdown output

Example Usage

Example (python):

'''Example: reproduce SkynetAgent-style webpage-to-Markdown extraction locally.
This script fetches a page, extracts the main article content, and converts it to Markdown.
It is a generic workflow and not the official SkynetAgent API (no public API documented on the Space commit page).
'''

# Requirements:
# pip install requests readability-lxml markdownify

import requests
from readability import Document
from markdownify import markdownify as md

def webpage_to_markdown(url):
    resp = requests.get(url, timeout=15)
    resp.raise_for_status()
    doc = Document(resp.text)
    title = doc.short_title()
    content_html = doc.summary()  # main content HTML
    content_md = md(content_html, heading_style="ATX")

    # Combine title and content as formatted Markdown
    full_md = f"# {title}\n\n" + content_md
    return full_md

if __name__ == "__main__":
    test_url = "https://example.com/article"
    try:
        md_output = webpage_to_markdown(test_url)
        print(md_output[:2000])  # print first 2000 chars
    except Exception as e:
        print("Error fetching or converting page:", e)

Benchmarks

Hugging Face downloads: 0 (Source: https://huggingface.co/spaces/cyberosa/SkynetAgent/commit/e4f0a1de050a1242ccd7cd3517627c84830e779e)

Hugging Face likes: 0 (Source: https://huggingface.co/spaces/cyberosa/SkynetAgent/commit/e4f0a1de050a1242ccd7cd3517627c84830e779e)

Key Information

• Category: RAG and Search
• Type: AI RAG and Search Tool