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

TradingAgents is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

TradingAgents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

TradingAgents

Best first install candidate based on install readiness and adoption.

Freshest repo

TradingAgents

Most recent maintenance signal among this shortlist.

SignalQuantWorld

量化交易平台Java开源开发框架

Vnpy

基于Python的开源量化交易平台开发框架

TradingAgents

TradingAgents: Multi-Agents LLM Financial Trading Framework

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
48/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
38/100
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.

Adoption140 stars
0 installs
42K stars
0 installs
88K stars
0 installs
44K stars
0 installs
FreshnessMay 9, 2023May 17, 2026Jun 22, 2026Apr 22, 2026
Use-case fit
Stack fit
Platform hintsJava, Quant, Claude CodePython, Quant, Claude CodePython, 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 signalsRAG and knowledge 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
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Install
$ npx skills add QuantWorldOrg/QuantWorld
$ npx skills add vnpy/vnpy
$ npx skills add TauricResearch/TradingAgents
$ npx skills add microsoft/qlib