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.

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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.

SignalEigenLedger

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.

Adoption1.1K stars
0 installs
42K stars
0 installs
44K stars
0 installs
768 stars
0 installs
FreshnessSep 14, 2025May 17, 2026Apr 22, 2026Jul 6, 2022
Use-case fit
Stack fit
Platform hintsPython, Finance, Claude CodePython, Quant, Claude CodePython, Finance, Claude CodePython, Finance, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataRepository looks stale · No OpenAgentSkill engagement data yet
Best forFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that require actively maintained dependencies · production agents without a repository review
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Install
$ npx skills add santoshlite/EigenLedger
$ npx skills add vnpy/vnpy
$ npx skills add microsoft/qlib
$ npx skills add constverum/Quantdom