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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

Chefboost is the strongest overall pick here because it has a 77/100 readiness score and fits GitHub automation.

Strongest overall

Chefboost

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

Fastest prototype

Chefboost

Best first install candidate based on install readiness and adoption.

Freshest repo

Chefboost

Most recent maintenance signal among this shortlist.

SignalChefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Quality
78/100
Strong
Decision verdict
77/100
Strong shortlist

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

Adoption488 stars
0 installs
FreshnessMay 13, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
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
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add serengil/chefboost