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

Jesse

Most recent maintenance signal among this shortlist.

SignalTai

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

Jesse

An advanced crypto trading bot written in Python

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
53/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
43/100
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.

Adoption497 stars
0 installs
8.0K stars
0 installs
7.9K stars
0 installs
44K stars
0 installs
FreshnessDec 7, 2024Jun 14, 2026Jun 10, 2026Apr 22, 2026
Use-case fit
Workflow fit
Platform hintsElixir, Finance, Claude CodeJavaScript, Finance, Claude CodePython, Finance, Claude CodePython, Finance, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo 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 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
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Install
$ npx skills add fremantle-industries/tai
$ npx skills add jesse-ai/jesse
$ npx skills add polakowo/vectorbt
$ npx skills add microsoft/qlib