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
Freqtrade is the strongest overall pick here because it has a 100/100 readiness score and fits Finance and quant.
Strongest overall
Freqtrade
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Freqtrade
Best first install candidate based on install readiness and adoption.
Freshest repo
FinRL
Most recent maintenance signal among this shortlist.
| Signal | Stock Analysis Engine Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/ | FinRL FinRL®: Financial Reinforcement Learning. 🔥 | Freqtrade Free, open source crypto trading bot | 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. |
|---|---|---|---|---|
| Quality | 66/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 68/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 1.2K stars Verified outcomes are shown on each skill page | 16K stars Verified outcomes are shown on each skill page | 52K stars Verified outcomes are shown on each skill page | 44K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 5, 2020 | Jul 13, 2026 | Jun 17, 2026 | Apr 22, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Trading, Claude Code | Jupyter Notebook, Trading, Claude Code | Python, Trading, Claude Code | Python, Finance, 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 | Browser automation 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 | 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 AlgoTraders/stock-analysis-engine | $ npx skills add AI4Finance-Foundation/FinRL | $ npx skills add freqtrade/freqtrade | $ npx skills add microsoft/qlib |