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
Qf Lib
Most recent maintenance signal among this shortlist.
| Signal | Qf Lib Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures. | 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. | Vectorbt The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one. | Vnpy 基于Python的开源量化交易平台开发框架 |
|---|---|---|---|---|
| Quality | 81/100 Strong | 100/100 Excellent | 99/100 Excellent | 100/100 Excellent |
| Decision verdict | 92/100 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 | 950 stars Verified outcomes are shown on each skill page | 52K stars Verified outcomes are shown on each skill page | 7.9K stars Verified outcomes are shown on each skill page | 42K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 3, 2026 | Jun 29, 2026 | Jun 10, 2026 | May 17, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Finance, Claude Code | Python, Finance, Claude Code | Python, Finance, Claude Code | Python, Quant, 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 | 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 | 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 quarkfin/qf-lib | $ npx skills add ZhuLinsen/daily_stock_analysis | $ npx skills add polakowo/vectorbt | $ npx skills add vnpy/vnpy |