Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
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
Equity Research Earnings Analysis
Most recent maintenance signal among this shortlist.
| Signal | A Stock Data A self-contained AI agent skill for accessing China A-share stock data from 15 sources, packaged as a structured Markdown+Python file for Claude Code, Codex, and similar agent runtimes. | Equity Research Earnings Analysis Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. | Portfolio Monitoring Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries. | 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 | 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 | 8.1K stars Verified outcomes are shown on each skill page | 35K stars Verified outcomes are shown on each skill page | 35K stars |
| 44K stars Verified outcomes are shown on each skill page |
| Freshness | Jul 30, 2026 | Sep 16, 2026 | Sep 16, 2026 | Apr 22, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code, OpenAI Agents | Claude Code, Codex, skills.sh, OpenAI Agents | Claude Code, Codex, skills.sh, OpenAI Agents | Python, Finance, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | Financial research output is not financial advice; a human must review source data and conclusions before a live investment decision. · No OpenAgentSkill engagement data yet | The workflow can process confidential portfolio financial packages; review data access and retention before use. · 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 | Finance and quant 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 · production agents without a repository review | teams that need a vendor-supported SLA · production agents without a repository 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 simonlin1212/a-stock-data | $ npx -y skills add anthropics/financial-services --skill earnings-analysis | $ npx -y skills add anthropics/financial-services --skill portfolio-monitoring | $ npx skills add microsoft/qlib |