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
AgentUniverse is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
AgentUniverse
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
AppAgent
Best first install candidate based on install readiness and adoption.
Freshest repo
Rai
Most recent maintenance signal among this shortlist.
| Signal | Rai RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more. | LLMStack No-code multi-agent framework to build LLM Agents, workflows and applications with your data | AgentUniverse agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. | AppAgent AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps. |
|---|---|---|---|---|
| Quality | 84/100 Strong | 69/100 Promising | 99/100 Excellent | 79/100 Strong |
| Decision verdict | 95/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 71/100 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. | 82/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 528 stars 0 installs | 2.3K stars 0 installs | 2.3K stars 0 installs | 6.8K stars 0 installs |
| Freshness | Jun 4, 2026 | Dec 11, 2024 | Apr 24, 2026 | Mar 19, 2025 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | Python, LLM, Claude Code | Python, LLM, Claude Code | Python, LLM, Claude Code, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet | No major risk signals from current metadata | Repository looks stale |
| Best for | GitHub automation 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 | 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 require actively maintained dependencies · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 2 views 0 install copies | 2 views 0 install copies |
| Install | $ npx skills add RobotecAI/rai | $ npx skills add trypromptly/LLMStack | $ npx skills add agentuniverse-ai/agentUniverse | $ npx skills add TencentQQGYLab/AppAgent |