omni-article-markdown is a CLI tool and library that converts web articles from various sources into clean Markdown format. It employs a modular pipeline architecture: Reader fetches HTML (using requests or Playwright for JavaScript-heavy sites), Extractor isolates article content by removing boilerplate and ads, and Parser converts the cleaned HTML to Markdown with support for code blocks, tables, math equations, and GitHub Gists. The system uses a plugin-based architecture where site-specific readers and extractors are automatically discovered and loaded, allowing easy extension for new websites. Key features include SSL verification control, cookie persistence for sites requiring authentication (like Zhihu), and flexible output options (stdout or file saving).
This repository provides a Claude Code Skill for reducing AIGC detection rates in Chinese academic writing. The Skill is available in two versions: a compact SKILL.md (~414 lines) for efficient daily use and a full SKILL_full.md (~554 lines) with detailed examples for maximum effectiveness. It does not contain executable code but offers a comprehensive set of rewriting rules based on 16 identified AI writing patterns across content, language, and style layers. The core methodology involves pattern recognition, constrained rewriting (7 hard constraints), a 4-step SOP (risk scanning → rewriting → rhythm check → noise preservation), and a 6-dimension quality scoring system. The Skill transforms input text by breaking AI predictability while preserving academic meaning and injecting human-like variability through techniques like theoretical repositioning, asymmetric restructuring, and judicious noise retention.