Autonomous web form inspector and schema auto-mapper matching input attributes, autocomplete hints, and regex validations to agent state.
genpark-web-form-input-schema-auto-mapper-skill
Production-Grade Autonomous Web Browsing & Extraction Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
genpark-web-form-input-schema-auto-mapper-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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Autonomous web form inspector and schema auto-mapper matching input attributes, autocomplete hints, and regex validations to agent state.
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