Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
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
Vnpy
Most recent maintenance signal among this shortlist.
| Signal | AI Architecture Design notes for MyInvestPilot — an agent-friendly investment workflow system built with strategy primitives, DAG engines, validation loops, and observable decision infrastructure. | FinnewsHunter FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining. | 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 | 76/100 Strong | 93/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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. |
| Adoption | 304 stars 0 installs | 1.5K stars 0 installs | 44K stars 0 installs | 42K stars 0 installs |
| Freshness | Mar 28, 2026 | Jan 13, 2026 | Apr 22, 2026 | May 17, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Fintech, Claude Code | Python, Fintech, Claude Code | Python, Finance, Claude Code | Python, Quant, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 5 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add myinvestpilot/ai-architecture | $ npx skills add DemonDamon/FinnewsHunter | $ npx skills add microsoft/qlib | $ npx skills add vnpy/vnpy |