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
Rbdl is the strongest overall pick here because it has a 52/100 readiness score and fits GitHub automation.
Strongest overall
Rbdl
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Rbdl
Best first install candidate based on install readiness and adoption.
Freshest repo
Rbdl
Most recent maintenance signal among this shortlist.
| Signal | Rbdl RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics. |
|---|---|
| Quality | 50/100 Needs review |
| Decision verdict | 52/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 698 stars 0 installs |
| Freshness | Jun 9, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, Robotics, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add rbdl/rbdl |