Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
TradingAgents
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
TradingAgents
Best first install candidate based on install readiness and adoption.
Freshest repo
TradingAgents
Most recent maintenance signal among this shortlist.
| Signal | PGPortfolio PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf). | TradingAgents TradingAgents: Multi-Agents LLM Financial Trading Framework |
|---|---|---|
| Quality | 73/100 Strong | 100/100 Excellent |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.8K stars Verified outcomes are shown on each skill page | 88K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 9, 2021 | Jun 22, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Python, Portfolio Management, Claude Code | Python, Finance, Claude Code |
| Warnings | Repository looks stale · 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 | 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 |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add ZhengyaoJiang/PGPortfolio | $ npx skills add TauricResearch/TradingAgents |