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
Qlib is the strongest overall pick here because it has a 100/100 readiness score and fits Finance and quant.
Strongest overall
Qlib
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Qlib
Best first install candidate based on install readiness and adoption.
Freshest repo
Equity Research Earnings Analysis
Most recent maintenance signal among this shortlist.
| Signal | 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. | Vectorbt The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one. | FinanceDatabase This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. | Equity Research Earnings Analysis Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 99/100 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 | 44K stars Verified outcomes are shown on each skill page | 7.9K stars Verified outcomes are shown on each skill page | 7.9K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Apr 22, 2026 | Jun 10, 2026 | Jun 17, 2026 | Aug 21, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Finance, Claude Code | Python, Finance, Claude Code | Python, Market Data, Claude Code | Claude Code, Codex, skills.sh, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision. · No OpenAgentSkill engagement data yet |
| Best for | 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 | 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 |
| 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 · production agents without a repository 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 microsoft/qlib | $ npx skills add polakowo/vectorbt | $ npx skills add JerBouma/FinanceDatabase | $ npx -y skills add anthropics/financial-services --skill earnings-analysis |