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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

Hierarchical Attention Networks is the strongest overall pick here because it has a 43/100 readiness score and fits GitHub automation.

Strongest overall

Hierarchical Attention Networks

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

Fastest prototype

Hierarchical Attention Networks

Best first install candidate based on install readiness and adoption.

Freshest repo

Hierarchical Attention Networks

Most recent maintenance signal among this shortlist.

SignalHierarchical Attention Networks

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

Quality
53/100
Needs review
Decision verdict
43/100
Needs manual review

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

Adoption468 stars
0 installs
FreshnessMay 3, 2024
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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
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 ematvey/hierarchical-attention-networks