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

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

Strongest overall

Qlib

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

Fastest prototype

Qlib

Best first install candidate based on install readiness and adoption.

Freshest repo

Vectorbt

Most recent maintenance signal among this shortlist.

SignalQuant Notes

Quantitative Interview Preparation Guide, updated version here ==>

Qbot

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

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.

Vectorbt

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

Quality
51/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
53/100
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.

Adoption949 stars
0 installs
18K stars
0 installs
44K stars
0 installs
7.9K stars
0 installs
FreshnessMar 23, 2019Mar 11, 2026Apr 22, 2026Jun 10, 2026
Use-case fit
Stack fit
Platform hintsJupyter Notebook, Finance, Claude CodeJupyter Notebook, Finance, Claude CodePython, Finance, Claude CodePython, Finance, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG 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
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Install
$ npx skills add dingran/quant-notes
$ npx skills add UFund-Me/Qbot
$ npx skills add microsoft/qlib
$ npx skills add polakowo/vectorbt