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
Actual
Most recent maintenance signal among this shortlist.
| Signal | AMLSim The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities. | 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 | Actual A local-first personal finance app |
|---|---|---|---|---|
| Quality | 65/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 55/100 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 | 370 stars 0 installs | 88K stars 0 installs | 42K stars 0 installs | 27K stars 0 installs |
| Freshness | Sep 17, 2025 | Jun 22, 2026 | May 17, 2026 | Jul 3, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Finance, Claude Code | Python, Finance, Claude Code | Python, Quant, Claude Code | TypeScript, Finance, 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 | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects | 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 | Local desktop 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 IBM/AMLSim | $ npx skills add TauricResearch/TradingAgents | $ npx skills add vnpy/vnpy | $ npx skills add actualbudget/actual |