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 | Moonshot Vectorized backtester and trading engine for QuantRocket | 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. | QuantLib The QuantLib C++ library |
|---|---|---|---|---|
| Quality | 63/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 53/100 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. |
| Adoption | 267 stars 0 installs | 52K stars 0 installs | 44K stars 0 installs | 7.2K stars 0 installs |
| Freshness | Nov 19, 2025 | Jun 29, 2026 | Apr 22, 2026 | Jun 11, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Finance, Claude Code | Python, Finance, Claude Code | Python, Finance, Claude Code | C++, Finance, 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 | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects | 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 | RAG and knowledge 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 | 7 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add quantrocket-llc/moonshot | $ npx skills add ZhuLinsen/daily_stock_analysis | $ npx skills add microsoft/qlib | $ npx skills add lballabio/QuantLib |