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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

Machine Learning Exams is the strongest overall pick here because it has a 38/100 readiness score and fits GitHub automation.

Strongest overall

Machine Learning Exams

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

Fastest prototype

Machine Learning Exams

Best first install candidate based on install readiness and adoption.

Freshest repo

Machine Learning Exams

Most recent maintenance signal among this shortlist.

SignalMachine Learning Exams

This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.

Quality
48/100
Needs review
Decision verdict
38/100
Needs manual review

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

Adoption471 stars
0 installs
FreshnessApr 25, 2025
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Coding review agentContent growth agent
Platform hintsMachine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add fatosmorina/machine-learning-exams