OpenAgentSkill
GitHub200+

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

Dash

Most recent maintenance signal among this shortlist.

SignalIntroNeuralNetworks

Introducing neural networks to predict stock prices

Machine Learning For Trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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.

Dash

Data Apps & Dashboards for Python. No JavaScript Required.

Quality
55/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
57/100
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.

Adoption772 stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
44K stars
Verified outcomes are shown on each skill page
24K stars
Verified outcomes are shown on each skill page
FreshnessAug 3, 2019Jun 23, 2026Apr 22, 2026Jul 17, 2026
Use-case fit
Finance and quantResearch agents
Finance and quantCoding agentsResearch agents
Finance and quantResearch agentsCoding agents
Research agentsData analysisFinance and quant
Workflow fit
Research report agentContent growth agent
Coding review agentContent growth agent
Research report agentCoding review agent
Research report agentContent growth agent
Platform hintsPython, 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 OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forFinance 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 signalsResearch agents 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 VivekPa/IntroNeuralNetworks
$ npx skills add stefan-jansen/machine-learning-for-trading
$ npx skills add microsoft/qlib
$ npx skills add plotly/dash