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
Daily Stock Analysis is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.
Strongest overall
Daily Stock Analysis
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Daily Stock Analysis
Best first install candidate based on install readiness and adoption.
Freshest repo
Daily Stock Analysis
Most recent maintenance signal among this shortlist.
| Signal | Yoomoney API Python client for the YooMoney (ex-Yandex.Money) API — sync & async, Pydantic models, type-safe | Vnpy 基于Python的开源量化交易平台开发框架 | Daily Stock Analysis LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets. | 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. |
|---|---|---|---|---|
| Quality | 72/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 71/100 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. |
| Adoption | 301 stars 0 installs | 42K stars 0 installs | 52K stars 0 installs | 44K stars 0 installs |
| Freshness | Feb 13, 2026 | May 17, 2026 | Jun 29, 2026 | Apr 22, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Fintech, Claude Code | Python, Quant, Claude Code | Python, Finance, Claude Code | Python, Finance, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | 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 | Research agents 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 | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add AlekseyKorshuk/yoomoney-api | $ npx skills add vnpy/vnpy | $ npx skills add ZhuLinsen/daily_stock_analysis | $ npx skills add microsoft/qlib |