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
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
Vnpy
Most recent maintenance signal among this shortlist.
| Signal | EigenLedger An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎 | Vnpy 基于Python的开源量化交易平台开发框架 | 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. | Quantdom Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:] |
|---|---|---|---|---|
| Quality | 84/100 Strong | 100/100 Excellent | 100/100 Excellent | 55/100 Promising |
| Decision verdict | 86/100 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. | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 1.1K stars 0 installs | 42K stars 0 installs | 44K stars 0 installs | 768 stars 0 installs |
| Freshness | Sep 14, 2025 | May 17, 2026 | Apr 22, 2026 | Jul 6, 2022 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Finance, Claude Code | Python, Quant, Claude Code | Python, Finance, Claude Code | Python, Finance, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | Repository looks stale · 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 · 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 require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 5 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add santoshlite/EigenLedger | $ npx skills add vnpy/vnpy | $ npx skills add microsoft/qlib | $ npx skills add constverum/Quantdom |