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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

Plant Disease Identification Using CNN is the strongest overall pick here because it has a 36/100 readiness score and fits GitHub automation.

Strongest overall

Plant Disease Identification Using CNN

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

Fastest prototype

Plant Disease Identification Using CNN

Best first install candidate based on install readiness and adoption.

Freshest repo

Plant Disease Identification Using CNN

Most recent maintenance signal among this shortlist.

SignalPlant Disease Identification Using CNN

Plant Disease Identification Using Convulutional Neural Network

Quality
46/100
Needs review
Decision verdict
36/100
Needs manual review

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

Adoption277 stars
0 installs
FreshnessSep 3, 2020
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Bioinformatics, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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PrivacyBuilt for agent-native discovery
Best forGitHub 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 sumanismcse/Plant-Disease-Identification-using-CNN