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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

Hyper Extract is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Hyper Extract

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Hyper Extract

Best first install candidate based on install readiness and adoption.

Freshest repo

Hyper Extract

Most recent maintenance signal among this shortlist.

SignalHyper Extract

Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Quality
100/100
Excellent
Decision verdict
100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption2.8K stars
0 installs
FreshnessJun 27, 2026
Use-case fit
RAG and knowledgeGitHub automationCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, AI Agents, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best for
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
RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
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 yifanfeng97/Hyper-Extract