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 Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API | StockSharp Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). | 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 | 49/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 39/100 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 | 184 stars 0 installs | 10K stars 0 installs | 52K stars 0 installs | 44K stars 0 installs |
| Freshness | Dec 10, 2022 | Jun 13, 2026 | Jun 29, 2026 | Apr 22, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Java, Finance, Claude Code | C#, Finance, Claude Code | Python, Finance, Claude Code | Python, Finance, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Finance and quant 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 require actively maintained dependencies · production agents without a repository 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 | 7 views 0 install copies |
| Install | $ npx skills add dsinyakov/quant | $ npx skills add StockSharp/StockSharp | $ npx skills add ZhuLinsen/daily_stock_analysis | $ npx skills add microsoft/qlib |