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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 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

MobileNet Yolo is the strongest overall pick here because it has a 70/100 readiness score and fits Coding agents.

Strongest overall

MobileNet Yolo

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

MobileNet Yolo

Best first install candidate based on install readiness and adoption.

Freshest repo

MobileNet Yolo

Most recent maintenance signal among this shortlist.

SignalMobileNet Yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Quality
68/100
Promising
Decision verdict
70/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption1.7K stars
0 installs
FreshnessFeb 6, 2021
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Workflow fit
Content growth agentCoding review agent
Platform hintsC, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best for
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add dog-qiuqiu/MobileNet-Yolo