Skill comparison
Compare agent skills before installing.
Comparing 3 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Equity Research Earnings Analysis is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.
Strongest overall
Equity Research Earnings Analysis
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Equity Research Earnings Analysis
Best first install candidate based on install readiness and adoption.
Freshest repo
Simons Quant
Most recent maintenance signal among this shortlist.
| Signal | Alphas alpha101, alpha191, alphalens, backtrader, 量化研究 | Simons Quant Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review. | Equity Research Earnings Analysis Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review. |
|---|---|---|---|
| Quality | 49/100 Needs review | 89/100 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. |
| Adoption | 566 stars Verified outcomes are shown on each skill page | 1.5K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Apr 14, 2023 | Aug 23, 2026 | Aug 21, 2026 |
| Use-case fit | |||
| Workflow fit | |||
| Platform hints | Jupyter Notebook, Backtrader, Claude Code | Codex, Claude Code, skills.sh, OpenAI Agents | Claude Code, Codex, skills.sh, OpenAI Agents |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | Quantitative strategy research requires point-in-time data, transaction-cost assumptions, and out-of-sample validation. · 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 |
| 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 | 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 · production agents without a repository review | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add popbo/alphas | $ npx -y skills add xuboyuebobb/investorskills --skill simons-quant | $ npx -y skills add anthropics/financial-services --skill earnings-analysis |