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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

Daily Stock Analysis is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.

Strongest overall

Daily Stock Analysis

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

Fastest prototype

Daily Stock Analysis

Best first install candidate based on install readiness and adoption.

Freshest repo

Daily Stock Analysis

Most recent maintenance signal among this shortlist.

SignalExtrema Infra

A high-performance quantitative trading infrastructure built in Rust.

Vnpy

基于Python的开源量化交易平台开发框架

Turbovec

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

Daily Stock Analysis

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

Quality
81/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
80/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption227 stars
0 installs
42K stars
0 installs
12K stars
0 installs
52K stars
0 installs
FreshnessJun 21, 2026May 17, 2026Jun 10, 2026Jun 29, 2026
Use-case fit
Finance and quantBrowser automationCoding agents
Finance and quantCoding agentsRAG and knowledge
RAG and knowledgeCoding agentsBrowser automation
Research agentsFinance and quantRAG and knowledge
Stack fit
Browser QA agentContent growth agent
Content growth agentCoding review agent
RAG knowledge baseContent growth agent
Research report agentRAG knowledge base
Platform hintsRust, Quant, Claude CodePython, Quant, Claude CodePython, Quant, Claude CodePython, Finance, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
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 signalsResearch agents 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
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Install
$ npx skills add Lqz13Th/extrema_infra
$ npx skills add vnpy/vnpy
$ npx skills add RyanCodrai/turbovec
$ npx skills add ZhuLinsen/daily_stock_analysis