Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
DeepResearch
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
DeepResearch
Best first install candidate based on install readiness and adoption.
Freshest repo
DeepEar
Most recent maintenance signal among this shortlist.
| Signal | DeepEar DeepEar | 顺风耳 An open-source framework for Deep Research and Financial Signal Tracking. 一个用于深度研究与金融信号追踪的开源框架。 | Deep Research An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic. | DeepResearch Tongyi Deep Research, the Leading Open-source Deep Research Agent | ChatPaper Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复 |
|---|---|---|---|---|
| Quality | 71/100 Strong | 100/100 Excellent | 100/100 Excellent | 97/100 Excellent |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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. | 99/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 245 stars Verified outcomes are shown on each skill page | 19K stars Verified outcomes are shown on each skill page | 20K stars Verified outcomes are shown on each skill page |
| 20K stars Verified outcomes are shown on each skill page |
| Freshness | Apr 16, 2026 | Apr 11, 2026 | Feb 27, 2026 | Mar 2, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Python, Research Agent, Claude Code | TypeScript, Research Agent, Claude Code, OpenAI Agents | Python, Research Agent, Claude Code | Python, Research, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals | Research agents 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 · 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 HKUSTDial/DeepEar | $ npx skills add dzhng/deep-research | $ npx skills add Alibaba-NLP/DeepResearch | $ npx skills add kaixindelele/ChatPaper |