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.

Add more skills

Decision summary

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

Strongest overall

Freqtrade

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

Fastest prototype

Freqtrade

Best first install candidate based on install readiness and adoption.

Freshest repo

Freqtrade

Most recent maintenance signal among this shortlist.

SignalVisionQuant Pro

🤖 基于深度学习的AI量化投资系统 | Vision-Based Quantitative Trading System with Deep Learning

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.

FinRL

FinRL®: Financial Reinforcement Learning. 🔥

Freqtrade

Free, open source crypto trading bot

Quality
68/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
67/100
Prototype first

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

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.

Adoption136 stars
0 installs
44K stars
0 installs
15K stars
0 installs
52K stars
0 installs
FreshnessFeb 27, 2026Apr 22, 2026May 25, 2026Jun 17, 2026
Use-case fit
Stack fit
Platform hintsPython, Trading, Claude CodePython, Finance, Claude CodeJupyter Notebook, Trading, Claude CodePython, Trading, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo 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 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
OpenAgentSkill engagement0 views
0 install copies
7 views
0 install copies
0 views
0 install copies
0 views
0 install copies
Install
$ npx skills add panyisheng095-ux/VisionQuant-Pro
$ npx skills add microsoft/qlib
$ npx skills add AI4Finance-Foundation/FinRL
$ npx skills add freqtrade/freqtrade