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hypogenic

Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine

by k-dense-aiFree

Launch
#1418in AI Skills
0In stores

Description

hypogenic is an agent skill for planning and auditing the use of HypoGeniC and HypoRefine, tools from the ChicagoHAI project for language-mo…

Highlights

  • Generates hypotheses from labelled text
  • HypoGeniC iterative pattern scoring
  • HypoRefine adds literature-derived information
  • Union workflows combine hypothesis banks
  • Audits how a run was set up

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hypogenic FAQ

What does HypoGeniC do?

It iteratively proposes and scores textual patterns from labelled data, using a language model.

What does HypoRefine add?

Information derived from the literature, which the skill combines with the data-driven patterns.

Are the outputs findings?

No. The skill keeps its boundaries explicit, so the outputs are candidate patterns to test rather than established results.

What data does it need?

A labelled text dataset. The quality and labelling of that data shape what the tools can propose.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill hypogenic.

Is it checked for security?

Its security audits show passes from Gen Agent Trust Hub and Socket, and a warning from Snyk.

What are the best hypogenic alternatives?

Popular alternatives to hypogenic include dhdna-profiler, neurokit2 and pyhealth. See all hypogenic alternatives

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