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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

OC SORT is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.

Strongest overall

OC SORT

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

Fastest prototype

BEVFormer

Best first install candidate based on install readiness and adoption.

Freshest repo

OC SORT

Most recent maintenance signal among this shortlist.

SignalGCNet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

OC SORT

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

DINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Quality
71/100
Strong
96/100
Excellent
77/100
Strong
75/100
Strong
Decision verdict
73/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

100/100
Production-ready

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

79/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

77/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption1.2K stars
0 installs
1.1K stars
0 installs
4.5K stars
0 installs
2.8K stars
0 installs
FreshnessFeb 16, 2021Apr 21, 2026Aug 15, 2024Jul 31, 2024
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Sports analyticsGitHub automationCoding agents
RAG and knowledgeGitHub automationCoding agents
RAG and knowledgeGitHub automationCoding agents
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
RAG knowledge baseContent growth agent
RAG knowledge baseContent growth agent
Platform hintsPython, Computer Vision, Claude CodePython, Computer Vision, Claude CodePython, Computer Vision, Claude CodePython, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetRepository looks stale · No OpenAgentSkill engagement data yetRepository looks stale · No OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge 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 require actively maintained dependencies · production agents without a repository reviewteams that require actively maintained dependencies · production agents without a repository review
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Install
$ npx skills add xvjiarui/GCNet
$ npx skills add noahcao/OC_SORT
$ npx skills add fundamentalvision/BEVFormer
$ npx skills add IDEA-Research/DINO