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

Actual

Most recent maintenance signal among this shortlist.

Signal	Stock Feature Engineering Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and stop/hold positions for machine learning. Used machine learning to significant features.	TradingAgents TradingAgents: Multi-Agents LLM Financial Trading Framework	Actual A local-first personal finance app	Vnpy 基于Python的开源量化交易平台开发框架
Quality	40/100 Needs review	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	30/100 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.
Adoption	76 stars 0 installs	88K stars 0 installs	27K stars 0 installs	42K stars 0 installs
Freshness	May 23, 2020	Jun 22, 2026	Jul 3, 2026	May 17, 2026
Use-case fit	Finance and quant GitHub automation Data analysis	RAG and knowledge Research agents Finance and quant	Local desktop Coding agents RAG and knowledge	Finance and quant Coding agents RAG and knowledge
Stack fit	Content growth agent Coding review agent	RAG knowledge base Research report agent	Content growth agent Coding review agent	Content growth agent Coding review agent
Platform hints	Jupyter Notebook, Financial Data, Claude Code	Python, Finance, Claude Code	TypeScript, Finance, Claude Code	Python, Quant, Claude Code
Warnings	Repository looks stale · No OpenAgentSkill engagement data yet	No OpenAgentSkill engagement data yet	No OpenAgentSkill engagement data yet	No OpenAgentSkill engagement data yet
Best for	Finance and quant workflows · Claude Code teams · builders willing to evaluate younger projects	RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals	Local desktop workflows · Claude Code teams · teams that value GitHub adoption signals	Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal for	teams that require actively maintained dependencies · production agents without a repository review	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement	0 views 0 install copies	0 views 0 install copies	0 views 0 install copies	0 views 0 install copies
Install	`$ npx skills add hjeffreywang/Stock_feature_engineering`	`$ npx skills add TauricResearch/TradingAgents`	`$ npx skills add actualbudget/actual`	`$ npx skills add vnpy/vnpy`