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

Hyperswitch

Most recent maintenance signal among this shortlist.

SignalLago

Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

Hyperswitch

Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation

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.

Vnpy

基于Python的开源量化交易平台开发框架

Quality
100/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption10K stars
Verified outcomes are shown on each skill page
43K stars
Verified outcomes are shown on each skill page
44K stars
Verified outcomes are shown on each skill page
42K stars
Verified outcomes are shown on each skill page
FreshnessJun 19, 2026Jun 30, 2026Apr 22, 2026May 17, 2026
Use-case fit
Workflow fit
Platform hintsGo, Fintech, Claude CodeRust, Finance, Claude CodePython, Finance, Claude CodePython, Quant, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation 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
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Install
$ npx skills add getlago/lago
$ npx skills add juspay/hyperswitch
$ npx skills add microsoft/qlib
$ npx skills add vnpy/vnpy