Skill comparison
Compare agent skills before installing.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Rf2o Laser Odometry is the strongest overall pick here because it has a 43/100 readiness score and fits Coding agents.
Strongest overall
Rf2o Laser Odometry
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Rf2o Laser Odometry
Best first install candidate based on install readiness and adoption.
Freshest repo
Rf2o Laser Odometry
Most recent maintenance signal among this shortlist.
| Signal | Rf2o Laser Odometry Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217 |
|---|---|
| Quality | 53/100 Needs review |
| Decision verdict | 43/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 474 stars 0 installs |
| Freshness | Jan 31, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, Robotics, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add MAPIRlab/rf2o_laser_odometry |