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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Boxmot is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.
Strongest overall
Boxmot
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Boxmot
Best first install candidate based on install readiness and adoption.
Freshest repo
Boxmot
Most recent maintenance signal among this shortlist.
| Signal | Boxmot BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes |
|---|---|
| Quality | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 8.2K stars 0 installs |
| Freshness | Jun 13, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add mikel-brostrom/boxmot |