Hyper Extract

COMMUNITY

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

Downloads 0
Stars 954
Version 1.0.0
Quality 82/100 · Strong

Install with one command

$ npx skills add yifanfeng97/Hyper-Extract

Decision summary

Production-ready for RAG and knowledge

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

93
Readiness

Best for

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Not ideal for

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review

Risk notes

  • No OpenAgentSkill engagement data yet

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

82
GitHub stars
954
Freshness
12d ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Stack fit

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Overview

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

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ragFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
5/31/2026
Published
5/24/2026

Frameworks & Tools

PythonRAG

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Author

Y

yifanfeng97

@yifanfeng97

Platform Fit

Health Signals

GitHub stars
954
Quality score
55/100
Last GitHub push
May 19, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

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Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: Unknown