Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
ChatPaper is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
ChatPaper
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
ChatPaper
Best first install candidate based on install readiness and adoption.
Freshest repo
Local Deep Research
Most recent maintenance signal among this shortlist.
| Signal | ArxivDigest ArXiv Digest and Personalized Recommendations using Large Language Models | Local Deep Research ~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted. | 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 | 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. |
|---|---|---|---|---|
| Quality | 53/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 43/100 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 | 428 stars Verified outcomes are shown on each skill page | 8.7K stars Verified outcomes are shown on each skill page | 20K stars Verified outcomes are shown on each skill page | 19K stars Verified outcomes are shown on each skill page |
| Freshness | May 26, 2024 | Jul 18, 2026 | Mar 2, 2026 | Apr 11, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Research, Claude Code, OpenAI Agents | Python, Research, Claude Code | Python, Research, Claude Code, OpenAI Agents | TypeScript, Research Agent, Claude Code, OpenAI Agents |
| 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 | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge 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 AutoLLM/ArxivDigest | $ npx skills add LearningCircuit/local-deep-research | $ npx skills add kaixindelele/ChatPaper | $ npx skills add dzhng/deep-research |