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.
Decision summary
ProjectAirSim is the strongest overall pick here because it has a 97/100 readiness score and fits Browser automation.
Strongest overall
ProjectAirSim
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
ProjectAirSim
Best first install candidate based on install readiness and adoption.
Freshest repo
Rko Lio
Most recent maintenance signal among this shortlist.
| Signal | Lili Om LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs. | Rko Lio A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling | ProjectAirSim Project AirSim is Microsoft's evolution of AirSim, an advanced simulation platform for building, training, and testing autonomous systems in high-fidelity virtual environments | Patchwork SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21) |
|---|---|---|---|---|
| Quality | 54/100 Needs review | 85/100 Excellent | 86/100 Excellent | 85/100 Excellent |
| Decision verdict | 56/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 96/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 97/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 96/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 607 stars 0 installs | 580 stars 0 installs | 708 stars 0 installs | 584 stars 0 installs |
| Freshness | Mar 18, 2023 | Jun 3, 2026 | Jun 1, 2026 | May 21, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | C++, ROS, Claude Code | C++, ROS, Claude Code | C++, ROS, Claude Code | C++, ROS, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Browser automation 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 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 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 KIT-ISAS/lili-om | $ npx skills add PRBonn/rko_lio | $ npx skills add iamaisim/ProjectAirSim | $ npx skills add LimHyungTae/patchwork |