UZI-Skill is a feature-rich, open-source stock deep analysis engine targeting A-share, Hong Kong, and US markets. It operates as a monolithic Python CLI application that orchestrates a multi-stage pipeline: network preflight, data collection from 22 dimensions via free sources (akshare, yfinance, baostock, Eastmoney, XueQiu, etc.), rule-based scoring across 66 investor personas, institutional analysis (DCF, Comps, LBO, etc.), and generation of a self-contained HTML report with SVG visualizations. The system is designed for AI agent integration (Claude Code, Codex, Cursor, etc.) and supports single stock, multi-stock comparison, and portfolio batch analysis. While primarily an application, it has strong data-research characteristics due to its heavy reliance on financial data pipelines, quantitative scoring, and reproducible research workflows. The codebase is actively maintained with a large test suite, but its dependence on volatile free Chinese data sources and the coexistence of legacy and pipeline architectures introduce moderate technical drift.