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.

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Decision summary

Qlib is the strongest overall pick here because it has a 100/100 readiness score and fits Finance and quant.

Strongest overall

Qlib

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Qlib

Best first install candidate based on install readiness and adoption.

Freshest repo

Dash

Most recent maintenance signal among this shortlist.

Signal	Pandapy PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)	Machine Learning For Trading Code for Machine Learning for Algorithmic Trading, 2nd edition.	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.	Dash Data Apps & Dashboards for Python. No JavaScript Required.
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	547 stars Verified outcomes are shown on each skill page	19K stars Verified outcomes are shown on each skill page	44K stars Verified outcomes are shown on each skill page	24K stars Verified outcomes are shown on each skill page
Freshness	Oct 20, 2021	Jun 23, 2026	Apr 22, 2026	Jul 17, 2026
Use-case fit	Finance and quant Research agents Data analysis	Finance and quant Coding agents Research agents	Finance and quant Research agents Coding agents	Research agents Data analysis Finance and quant
Workflow fit	Research report agent Content growth agent	Coding review agent Content growth agent	Research report agent Coding review agent	Research report agent Content growth agent
Platform hints	Python, Finance, Claude Code	Jupyter Notebook, Finance, Claude Code	Python, Finance, 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	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	Research agents 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 firmai/pandapy`	`$ npx skills add stefan-jansen/machine-learning-for-trading`	`$ npx skills add microsoft/qlib`	`$ npx skills add plotly/dash`