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 | Quant Wiki We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行业信息差。 | 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. | QuantLib The QuantLib C++ library | 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 | 96/100 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. |
| Adoption | 3.8K stars 0 installs | 52K stars 0 installs | 7.2K stars 0 installs | 44K stars 0 installs |
| Freshness | Apr 16, 2026 | Jun 29, 2026 | Jun 11, 2026 | Apr 22, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Finance, Claude Code | Python, Finance, Claude Code | C++, 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 | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 LLMQuant/quant-wiki | $ npx skills add ZhuLinsen/daily_stock_analysis | $ npx skills add lballabio/QuantLib | $ npx skills add microsoft/qlib |