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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.

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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.

SignalHandeye Calib Camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

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)

Rko Lio

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

Quality
54/100
Needs review
86/100
Excellent
85/100
Excellent
85/100
Excellent
Decision verdict
56/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

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.

96/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption611 stars
0 installs
708 stars
0 installs
584 stars
0 installs
580 stars
0 installs
FreshnessJul 24, 2024Jun 1, 2026May 21, 2026Jun 3, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Browser automationCoding agentsRAG and knowledge
Coding agentsRAG and knowledgeWorkflow automation
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Browser QA agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsC++, ROS, Claude CodeC++, ROS, Claude CodeC++, ROS, Claude CodeC++, ROS, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsBrowser automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add jhu-lcsr/handeye_calib_camodocal
$ npx skills add iamaisim/ProjectAirSim
$ npx skills add LimHyungTae/patchwork
$ npx skills add PRBonn/rko_lio