Star0

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.

Add more skills

Decision summary

Ray is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Ray

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

Fastest prototype

Ray

Best first install candidate based on install readiness and adoption.

Freshest repo

Ray

Most recent maintenance signal among this shortlist.

SignalSherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Netron

Visualizer for neural network, deep learning and machine learning models

Onnx

Open standard for machine learning interoperability

Quality
52/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
42/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

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.

Adoption346 stars
0 installs
43K stars
0 installs
33K stars
0 installs
21K stars
0 installs
FreshnessOct 18, 2020Jun 16, 2026Jun 14, 2026Jun 16, 2026
Use-case fit
RAG and knowledgeCoding agentsBrowser automation
RAG and knowledgeGitHub automationCoding agents
Coding agentsRAG and knowledgeWorkflow automation
GitHub automationCoding agentsRAG and knowledge
Stack fit
RAG knowledge baseContent growth agent
RAG knowledge baseContent growth agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Platform hintsJavaScript, Machine Learning, Claude CodePython, Machine Learning, Claude CodeJavaScript, Machine Learning, Claude CodePython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projectsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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 require actively maintained dependencies · production agents without a repository 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 sherpa-ai/sherpa
$ npx skills add ray-project/ray
$ npx skills add lutzroeder/netron
$ npx skills add onnx/onnx