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Alpha-Park/genpark-url-canonicalization-anti-crawler-trap-skill

Web URL canonicalization and anti-crawler trap detector identifying circular paths, infinite paginations, and tracking parameter bloat.

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 11.7
created 2026-09-28
on radar since 2026-09-28
ai-agentcrawler-trapdom-parserform-automationmcpmcp-servermodel-context-protocoltable-parsertrajectory-evalweb-browsingzero-dependency
View on GitHub ↗Homepage ↗

About genpark-url-canonicalization-anti-crawler-trap-skill

genpark-url-canonicalization-anti-crawler-trap-skill

Production-Grade Autonomous Web Browsing & Extraction Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

genpark-url-canonicalization-anti-crawler-trap-skill delivers zero-dependency, low-latency web automation, DOM semantic pruning, and execution trajectory evaluation primitives engineered strictly using Python 3.9+ standard library.

🌟 Key Architectural Capabilities - Zero External Dependencies: Operates exclusively via pure Python (html.parser, urllib.parse, re, math, json). Zero pip install overhead, zero headless browser crashes. - Enterprise Web Agent Invariants: Implements formal token-pruning algorithms, form auto-mapping, anti-crawler trap normalization, Markdown-to-JSON type inference, and trajectory Levenshtein distance evaluation. - Native Anthropic MCP Protocol: Compliant with standard JSON-RPC 2.0 stdio MCP specifications for Claude Desktop, Cursor, and Windsurf.

🏗️ Architectural Topology & State Machine

🔌 One-Click MCP Integration (Claude Desktop / Cursor)

Add to your claudedesktopconfig.json or cursor.json:

This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:

Maintained with ❤️ by GenPark AI Engineering • Powering Next-Gen Autonomous Web Agents 🌍

From the project README.

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