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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

PyCNN is the strongest overall pick here because it has a 56/100 readiness score and fits GitHub automation.

Strongest overall

PyCNN

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

Fastest prototype

PyCNN

Best first install candidate based on install readiness and adoption.

Freshest repo

PyCNN

Most recent maintenance signal among this shortlist.

SignalPyCNN

Image Processing with Cellular Neural Networks in Python

Quality
54/100
Needs review
Decision verdict
56/100
Needs manual review

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

Adoption544 stars
0 installs
FreshnessNov 1, 2018
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add ankitaggarwal011/PyCNN