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
Qbot is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Qbot
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Qbot
Best first install candidate based on install readiness and adoption.
Freshest repo
Lumibot
Most recent maintenance signal among this shortlist.
| Signal | Stock stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。 | Vectorbt The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one. | Lumibot Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers. | Qbot [🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 13K stars 0 installs | 7.9K stars 0 installs | 1.7K stars 0 installs | 18K stars 0 installs |
| Freshness | Apr 2, 2026 | Jun 10, 2026 | Jun 11, 2026 | Mar 11, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Finance, Claude Code | Python, Finance, Claude Code | Python, Finance, Claude Code | Jupyter Notebook, Finance, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | 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 | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | 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 | 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 | 3 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add myhhub/stock | $ npx skills add polakowo/vectorbt | $ npx skills add Lumiwealth/lumibot | $ npx skills add UFund-Me/Qbot |