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
FinRL is the strongest overall pick here because it has a 100/100 readiness score and fits Finance and quant.
Strongest overall
FinRL
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
FinRL
Best first install candidate based on install readiness and adoption.
Freshest repo
FinanceDatabase
Most recent maintenance signal among this shortlist.
| Signal | Trials Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness. | FinRL FinRL®: Financial Reinforcement Learning. 🔥 | FinanceDatabase This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. | OpenStock OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free. |
|---|---|---|---|---|
| Quality | 47/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 37/100 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 | 133 stars 0 installs | 15K stars 0 installs | 7.9K stars 0 installs | 13K stars 0 installs |
| Freshness | Aug 31, 2023 | May 25, 2026 | Jun 17, 2026 | May 28, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Market Data, Claude Code | Jupyter Notebook, Trading, Claude Code | Python, Market Data, Claude Code | TypeScript, Market Data, Claude Code |
| Warnings | Repository looks stale · 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 · builders willing to evaluate younger projects | 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 | Coding agents 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 | 0 views 0 install copies |
| Install | $ npx skills add The-FinAI/trials | $ npx skills add AI4Finance-Foundation/FinRL | $ npx skills add JerBouma/FinanceDatabase | $ npx skills add Open-Dev-Society/OpenStock |