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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

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

Strongest overall

Attention Viz

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

Fastest prototype

Attention Viz

Best first install candidate based on install readiness and adoption.

Freshest repo

Attention Viz

Most recent maintenance signal among this shortlist.

SignalAttention Viz

Visualizing query-key interactions in language + vision transformers (VIS 2023)

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

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

Adoption167 stars
0 installs
FreshnessMay 5, 2024
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsHTML, Computer Vision, Claude Code, OpenAI Agents
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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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 catherinesyeh/attention-viz