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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

Deepsomatic is the strongest overall pick here because it has a 71/100 readiness score and fits GitHub automation.

Strongest overall

Deepsomatic

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

Deepsomatic

Best first install candidate based on install readiness and adoption.

Freshest repo

Deepsomatic

Most recent maintenance signal among this shortlist.

SignalDeepsomatic

DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.

Quality
72/100
Strong
Decision verdict
71/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption311 stars
0 installs
FreshnessMar 5, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsBioinformatics, Claude Code
WarningsNo major risk signals from current metadata
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add google/deepsomatic