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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

Dgl Lifesci is the strongest overall pick here because it has a 57/100 readiness score and fits GitHub automation.

Strongest overall

Dgl Lifesci

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

Fastest prototype

Dgl Lifesci

Best first install candidate based on install readiness and adoption.

Freshest repo

Dgl Lifesci

Most recent maintenance signal among this shortlist.

SignalDgl Lifesci

Python package for graph neural networks in chemistry and biology

Quality
55/100
Promising
Decision verdict
57/100
Needs manual review

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

Adoption805 stars
0 installs
FreshnessNov 1, 2023
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Bioinformatics, 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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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 awslabs/dgl-lifesci