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.

SignalStock Price Prediction LSTM

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Freqtrade

Free, open source crypto trading bot

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. 🔥

Quality
49/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
51/100
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.

Adoption617 stars
0 installs
52K stars
0 installs
44K stars
0 installs
15K stars
0 installs
FreshnessMar 30, 2023Jun 17, 2026Apr 22, 2026May 25, 2026
Use-case fit
Workflow fit
Platform hintsPython, Trading, Claude CodePython, Trading, Claude CodePython, Finance, Claude CodeJupyter Notebook, Trading, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forSports analytics 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 · 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
33 views
2 install copies
0 views
0 install copies
0 views
0 install copies
Install
$ npx skills add NourozR/Stock-Price-Prediction-LSTM
$ npx skills add freqtrade/freqtrade
$ npx skills add microsoft/qlib
$ npx skills add AI4Finance-Foundation/FinRL