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
Ragflow is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Ragflow
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Ragflow
Best first install candidate based on install readiness and adoption.
Freshest repo
Semantica
Most recent maintenance signal among this shortlist.
| Signal | Semantica Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems. | Ragflow RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs | Airweave Open-source context retrieval layer for AI agents | Harness Books 📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 94/100 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 | 1.2K stars 0 installs | 83K stars 0 installs | 6.4K stars 0 installs | 2.4K stars 0 installs |
| Freshness | Jun 14, 2026 | Jun 13, 2026 | Jun 5, 2026 | Apr 19, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, AI Agents, Claude Code | Python, AI Agents, Claude Code | Python, AI Agents, Claude Code | Python, AI Agents, Claude Code, OpenAI Agents |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding 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 | 1 views 0 install copies | 0 views 0 install copies | 3 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add semantica-agi/semantica | $ npx skills add infiniflow/ragflow | $ npx skills add airweave-ai/airweave | $ npx skills add wquguru/harness-books |