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
TradingAgents is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
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
Gs Quant
Most recent maintenance signal among this shortlist.
| Signal | Chanlun 文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view! | TradingAgents TradingAgents: Multi-Agents LLM Financial Trading Framework | Vnpy 基于Python的开源量化交易平台开发框架 | Gs Quant Python toolkit for quantitative finance |
|---|---|---|---|---|
| Quality | 49/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 51/100 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 | 561 stars Verified outcomes are shown on each skill page | 88K stars Verified outcomes are shown on each skill page | 42K stars Verified outcomes are shown on each skill page | 11K stars Verified outcomes are shown on each skill page |
| Freshness | Apr 2, 2024 | Jun 22, 2026 | May 17, 2026 | Jul 15, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Trading, Claude Code | Python, Finance, Claude Code | Python, Quant, Claude Code | Python, Risk Management, 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 | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 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 tomcat123a/-chanlun | $ npx skills add TauricResearch/TradingAgents | $ npx skills add vnpy/vnpy | $ npx skills add goldmansachs/gs-quant |