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hypogenic - Automated Hypothesis Generation and Testing

Generates and tests hypotheses from observational datasets, optionally combining empirical patterns with research literature.

Tags

Updated: 2026-10-16

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Generate data-driven hypotheses
  • Test competing hypotheses
  • Integrate literature insights
  • Refine hypothesis banks iteratively
  • Process literature PDFs
  • Run inference on hypotheses

Inputs

  • Task configuration file
  • Training, validation, and test datasets
  • Research paper PDFs
  • Hypothesis bank file
  • LLM API credentials or local model

Outputs

  • Generated hypothesis bank files
  • Inference result files
  • Processed literature data

Requirements

  • Installed hypogenic package
  • LLM API access or local LLM
  • Required dataset JSON format
  • GROBID for PDF preprocessing
  • s2orc-doc2json for literature processing

Source

  • Spec: SKILL.md

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hypothesis generation
hypothesis testing
empirical research
literature integration
large language models
tabular datasets
Generate data-driven hypotheses
Test competing hypotheses
Integrate literature insights
Refine hypothesis banks iteratively
Task configuration file
Training, validation, and test datasets
Research paper PDFs
Generated hypothesis bank files
Inference result files
Processed literature data