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

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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.

SignalRobin Stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

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.

Vectorbt

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Quality
95/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption2.1K stars
0 installs
52K stars
0 installs
7.9K stars
0 installs
44K stars
0 installs
FreshnessFeb 11, 2026Jun 29, 2026Jun 10, 2026Apr 22, 2026
Use-case fit
Workflow fit
Platform hintsPython, Finance, Claude CodePython, Finance, Claude CodePython, Finance, Claude CodePython, Finance, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsResearch agents 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 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 jmfernandes/robin_stocks
$ npx skills add ZhuLinsen/daily_stock_analysis
$ npx skills add polakowo/vectorbt
$ npx skills add microsoft/qlib