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
Equity Research Earnings Analysis
Most recent maintenance signal among this shortlist.
| Signal | Short Term Reversal Strategy Python-based quant trading research project for short-term reversal option setups, universe selection, staged-entry backtesting, and live paper trading. | 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 | 70/100 Strong | 83/100 Strong | 100/100 Excellent |
| Decision verdict | 69/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 94/100 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 | 248 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 | Jun 21, 2026 | Jul 14, 2026 | Aug 21, 2026 |
| Use-case fit | |||
| Workflow fit | |||
| Platform hints | Jupyter Notebook, Trading, Claude Code | Codex, Claude Code, skills.sh, OpenAI Agents | Claude Code, Codex, skills.sh, OpenAI Agents |
| Warnings | 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 · builders willing to evaluate younger projects | 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 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 |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add randomwalkhan/Short-Term-Reversal-Strategy | $ npx -y skills add xuboyuebobb/investorskills --skill simons-quant | $ npx -y skills add anthropics/financial-services --skill earnings-analysis |