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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.

SignalAtmquant

atmquant由公众号“堂主的ATMQuant"开发，是基于vnpy框架的AI量化交易平台，专注于AI量化投资、指标信号可视化与策略研发和回测，有完整教学和实战案例，适合量化交易初学者、金融从业者、程序员、投资爱好者

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

Turbovec

A vector index built on TurboQuant, written in Rust with Python bindings

Quality
66/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
65/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

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.

Adoption96 stars
0 installs
42K stars
0 installs
88K stars
0 installs
12K stars
0 installs
FreshnessApr 10, 2026May 17, 2026Jun 22, 2026Jun 10, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Finance and quantCoding agentsRAG and knowledge
RAG and knowledgeResearch agentsFinance and quant
RAG and knowledgeCoding agentsBrowser automation
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
RAG knowledge baseResearch report agent
RAG knowledge baseContent growth agent
Platform hintsPython, Quant, Claude CodePython, Quant, Claude CodePython, Finance, Claude CodePython, Quant, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forCoding agents 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 signalsRAG and knowledge 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 need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add seasonstar/atmquant
$ npx skills add vnpy/vnpy
$ npx skills add TauricResearch/TradingAgents
$ npx skills add RyanCodrai/turbovec