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

Screeni Py is the strongest overall pick here because it has a 97/100 readiness score and fits Finance and quant.

Strongest overall

Screeni Py

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

Fastest prototype

Tushare

Best first install candidate based on install readiness and adoption.

Freshest repo

Screeni Py

Most recent maintenance signal among this shortlist.

SignalZipline Chinese

zipline 是开源量化平台,但是当前zipline 并不支持A股的测试,很多在线平台如优矿,聚宽等都是基于zipline,本项目改进zipline,使得zipline支持A股测试

Screeni Py

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

Tushare

TuShare is a utility for crawling historical data of China stocks

Stock Bot

An open-source Python backtesting engine for designing and evaluating daily stock trading algorithms against real historical market data.

Quality
55/100
Promising
86/100
Excellent
84/100
Strong
72/100
Strong
Decision verdict
57/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

97/100
Production-ready

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

86/100
Production-ready

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

71/100
Prototype first

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

Adoption688 stars
0 installs
689 stars
0 installs
15K stars
0 installs
305 stars
0 installs
FreshnessApr 14, 2017Jun 12, 2026Mar 13, 2024Feb 25, 2026
Use-case fit
Stack fit
Platform hintsPython, Market Data, Claude CodePython, Market Data, Claude CodePython, Market Data, Claude CodePython, Market Data, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forFinance and quant 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 signalsFinance and quant workflows · Claude Code teams · builders willing to evaluate younger projects
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 require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add zhanghan1990/zipline-chinese
$ npx skills add pranjal-joshi/Screeni-py
$ npx skills add waditu/tushare
$ npx skills add ryantcullen/stock-bot