Star200+

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

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

FinRL

Most recent maintenance signal among this shortlist.

SignalZigZag

Python library for identifying the peaks and valleys of a time series.

TradingAgents

TradingAgents: Multi-Agents LLM Financial Trading Framework

Vnpy

基于Python的开源量化交易平台开发框架

FinRL

FinRL®: Financial Reinforcement Learning. 🔥

Quality
53/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
43/100
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.

Adoption475 stars
0 installs
88K stars
0 installs
42K stars
0 installs
16K stars
0 installs
FreshnessMar 21, 2024Jun 22, 2026May 17, 2026Jul 13, 2026
Use-case fit
Finance and quantGitHub automationCoding agents
RAG and knowledgeResearch agentsFinance and quant
Finance and quantCoding agentsRAG and knowledge
Finance and quantGitHub automationCoding agents
Workflow fit
Content growth agentCoding review agent
RAG knowledge baseResearch report agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Technical Analysis, Claude CodePython, Finance, Claude CodePython, Quant, Claude CodeJupyter Notebook, Trading, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forFinance and quant workflows · Claude Code teams · builders willing to evaluate younger projectsRAG and knowledge 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 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
0 views
0 install copies
Install
$ npx skills add jbn/ZigZag
$ npx skills add TauricResearch/TradingAgents
$ npx skills add vnpy/vnpy
$ npx skills add AI4Finance-Foundation/FinRL