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.

Add more skills

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

Machine Learning For Trading

Most recent maintenance signal among this shortlist.

SignalBeibo

🤖 Predict the stock market with AI 用AI预测股票市场

Vnpy

基于Python的开源量化交易平台开发框架

Machine Learning For Trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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.

Quality
46/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
36/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

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.

Adoption98 stars
0 installs
42K stars
0 installs
19K stars
0 installs
44K stars
0 installs
FreshnessDec 30, 2021May 17, 2026Jun 23, 2026Apr 22, 2026
Use-case fit
Stack fit
Platform hintsPython, Quant, Claude CodePython, Quant, Claude CodeJupyter Notebook, Finance, Claude CodePython, Finance, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forFinance and quant workflows · Claude Code teams · builders willing to evaluate younger projectsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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 require actively maintained dependencies · production agents without a repository 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 need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
0 views
0 install copies
0 views
0 install copies
7 views
0 install copies
Install
$ npx skills add santoshlite/Beibo
$ npx skills add vnpy/vnpy
$ npx skills add stefan-jansen/machine-learning-for-trading
$ npx skills add microsoft/qlib