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
Agentops is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.
Strongest overall
Agentops
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Agentops
Best first install candidate based on install readiness and adoption.
Freshest repo
Embabel Agent
Most recent maintenance signal among this shortlist.
| Signal | PantheonOS A general, evolvable, and distributed agent framework & harness for data science. | AgentUniverse agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. | Embabel Agent Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/ | Agentops Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI |
|---|---|---|---|---|
| Quality | 84/100 Strong | 99/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 83/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 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 | 446 stars 0 installs | 2.3K stars 0 installs | 3.7K stars 0 installs | 5.6K stars 0 installs |
| Freshness | Jun 16, 2026 | Apr 24, 2026 | Jun 16, 2026 | Mar 19, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | Python, LLM, Claude Code | Kotlin, LLM, Claude Code | Python, LLM, Claude Code, OpenAI Agents, LangChain |
| Warnings | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics 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 | 2 views 0 install copies | 4 views 0 install copies | 1 views 0 install copies |
| Install | $ npx skills add aristoteleo/PantheonOS | $ npx skills add agentuniverse-ai/agentUniverse | $ npx skills add embabel/embabel-agent | $ npx skills add AgentOps-AI/agentops |