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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

AI For Beginners is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.

Strongest overall

AI For Beginners

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

Fastest prototype

AI For Beginners

Best first install candidate based on install readiness and adoption.

Freshest repo

Supervision

Most recent maintenance signal among this shortlist.

SignalFace Antispoof Onnx

Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.

AI For Beginners

12 Weeks, 24 Lessons, AI for All!

Supervision

We write your reusable computer vision tools. 💜

Datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Quality
71/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
70/100
Prototype first

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

100/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

Adoption233 stars
0 installs
48K stars
0 installs
44K stars
0 installs
22K stars
0 installs
FreshnessMar 26, 2026Jun 11, 2026Jun 16, 2026Jun 12, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
GitHub automationCoding agentsRAG and knowledge
Multimodal mediaCoding agentsRAG and knowledge
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, Claude CodeJupyter Notebook, Machine Learning, Claude CodePython, Machine Learning, Claude CodePython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add facenox/face-antispoof-onnx
$ npx skills add microsoft/AI-For-Beginners
$ npx skills add roboflow/supervision
$ npx skills add huggingface/datasets