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
Graphrag is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Graphrag
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Graphrag
Best first install candidate based on install readiness and adoption.
Freshest repo
WFGY
Most recent maintenance signal among this shortlist.
| Signal | WFGY WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg. | Graphrag A modular graph-based Retrieval-Augmented Generation (RAG) system | Haystack Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems. | Onyx Open Source AI Platform - AI Chat with advanced features that works with every LLM |
|---|---|---|---|---|
| Quality | 93/100 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. |
| Adoption | 1.8K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page | 26K stars Verified outcomes are shown on each skill page | 30K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 24, 2026 | Jun 18, 2026 | Jun 12, 2026 | Jun 13, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, RAG, Claude Code | Python, RAG, Claude Code, OpenAI Agents | MDX, RAG, Claude Code, OpenAI Agents | Python, RAG, 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 | 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 | RAG and knowledge 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 onestardao/WFGY | $ npx skills add microsoft/graphrag | $ npx skills add deepset-ai/haystack | $ npx skills add onyx-dot-app/onyx |