Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Screeni Py is the strongest overall pick here because it has a 97/100 readiness score and fits Finance and quant.
Strongest overall
Screeni Py
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Tushare
Best first install candidate based on install readiness and adoption.
Freshest repo
Screeni Py
Most recent maintenance signal among this shortlist.
| Signal | TuChart Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日／月线，分笔，高频数据，前十股东分笔的视觉化 | Tushare TuShare is a utility for crawling historical data of China stocks | Screeni Py A Python-based stock screener to find stocks with potential breakout probability from NSE India. | Stock Bot An open-source Python backtesting engine for designing and evaluating daily stock trading algorithms against real historical market data. |
|---|---|---|---|---|
| Quality | 55/100 Promising | 84/100 Strong | 86/100 Excellent | 72/100 Strong |
| Decision verdict | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 86/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 97/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 802 stars 0 installs | 15K stars 0 installs | 689 stars 0 installs | 305 stars 0 installs |
| Freshness | Aug 25, 2019 | Mar 13, 2024 | Jun 12, 2026 | Feb 25, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Market Data, Claude Code | Python, Market Data, Claude Code | Python, Market Data, Claude Code | Python, Market Data, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review | teams that require actively maintained dependencies · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add Seedarchangel/TuChart | $ npx skills add waditu/tushare | $ npx skills add pranjal-joshi/Screeni-py | $ npx skills add ryantcullen/stock-bot |