Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

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

Deep Research Agent

Most recent maintenance signal among this shortlist.

Signal	Deep Research Agent Agentic RAG 驱动的深度研究 Agent — Agent 自主拆解问题、选择检索策略、评估质量、自我纠正，最终生成带引用溯源的结构化研究报告。	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	69/100 Promising	100/100 Excellent	100/100 Excellent	97/100 Excellent
Decision verdict	68/100 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	87 stars Verified outcomes are shown on each skill page	19K stars Verified outcomes are shown on each skill page	20K stars