Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Qlib is the strongest overall pick here because it has a 100/100 readiness score and fits Finance and quant.
Strongest overall
Qlib
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Qlib
Best first install candidate based on install readiness and adoption.
Freshest repo
Lago
Most recent maintenance signal among this shortlist.
| Signal | Stock Pandas 🚀 The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame` | Qlib Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process. | Vnpy 基于Python的开源量化交易平台开发框架 | Lago Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics |
|---|---|---|---|---|
| Quality | 79/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 78/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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 | 147 stars 0 installs | 44K stars 0 installs | 42K stars 0 installs | 10K stars 0 installs |
| Freshness | Jun 7, 2026 | Apr 22, 2026 | May 17, 2026 | Jun 19, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Fintech, Claude Code | Python, Finance, Claude Code | Python, Quant, Claude Code | Go, Fintech, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Finance and quant workflows · Claude Code teams · builders willing to evaluate younger projects | 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 | Sports analytics 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 | 7 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add kaelzhang/stock-pandas | $ npx skills add microsoft/qlib | $ npx skills add vnpy/vnpy | $ npx skills add getlago/lago |