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.

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Decision summary

GPT Researcher is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.

Strongest overall

GPT Researcher

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

GPT Researcher

Best first install candidate based on install readiness and adoption.

Freshest repo

GPT Researcher

Most recent maintenance signal among this shortlist.

SignalFAROS

A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

DeepResearch

Tongyi Deep Research, the Leading Open-source Deep Research Agent

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.

GPT Researcher

Run autonomous deep research over web and local sources

Quality
91/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption1.2K 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
28K stars
Verified outcomes are shown on each skill page
FreshnessJun 25, 2026Feb 27, 2026Apr 11, 2026Jun 28, 2026
Use-case fit
Workflow fit
Platform hintsPython, Research Agent, Claude CodePython, Research Agent, Claude CodeTypeScript, Research Agent, Claude Code, OpenAI AgentsPython, Research Agent, LLM, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsResearch agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add OpenNSWM-Lab/FAROS
$ npx skills add Alibaba-NLP/DeepResearch
$ npx skills add dzhng/deep-research
$ npx skills add assafelovic/gpt-researcher