Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Ta Lib Python is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Ta Lib Python
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Ta Lib Python
Best first install candidate based on install readiness and adoption.
Freshest repo
Rqalpha
Most recent maintenance signal among this shortlist.
| Signal | Rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities | Sequoia X A股自动选股系统 — 多种技术形态自动扫描，收盘后自动运行并推送飞书 | Ta Lib Python Python wrapper for TA-Lib (http://ta-lib.org/). | Stock 30天掌握量化交易 (持续更新) |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 6.5K stars 0 installs | 4.4K stars 0 installs | 12K stars 0 installs | 7.7K stars 0 installs |
| Freshness | Jun 12, 2026 | May 19, 2026 | Mar 16, 2026 | Apr 17, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, TA-Lib, Claude Code | Python, TA-Lib, Claude Code | Cython, Finance, Claude Code | Python, Quant, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | 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 | RAG and knowledge 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 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 | 1 views 0 install copies |
| Install | $ npx skills add ricequant/rqalpha | $ npx skills add sngyai/Sequoia-X | $ npx skills add TA-Lib/ta-lib-python | $ npx skills add Rockyzsu/stock |