Hypogenic

This automates hypothesis generation and testing on tabular data using LLMs, which is genuinely useful if you're doing empirical research and tired of manually formulating hypotheses. It offers three approaches: pure data-driven generation, literature-plus-data integration, or mechanical combination of both. The framework handles the full loop from generating 10-20 testable hypotheses to running inference and iterative refinement based on validation performance. Setup requires following HuggingFace dataset conventions and writing YAML configs with prompt templates, which adds some overhead but gives you control. The benchmarks claim 9-16% improvements over baselines and 80%+ hypothesis diversity. Redis caching is smart for cutting API costs during iteration. Best suited for research domains like deception detection or content analysis where you have structured data and want systematic exploration rather than ad-hoc prompting.

skills.sh installs: 2.1K
GitHub stars: 56.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill hypogenic --agent claude-code

Installs into .claude/skills of the current project.

Files

HypoGeniC

Scope and scientific boundary

This skill covers the ChicagoHAI software repository ChicagoHAI/hypothesis-generation and PyPI package hypogenic. HypoGeniC iteratively proposes and scores textual patterns from labeled data; HypoRefine adds literature-derived information; union workflows combine banks.

Keep these boundaries explicit:

The output is a bank of candidate textual hypotheses and task-prediction statistics. It is not experimental confirmation, causal evidence, a clinical conclusion, or proof of scientific novelty.
Predictive accuracy on held-out examples assesses task utility, not truth of a mechanism. Independent scientific validation still needs domain review, suitable controls, preregistered tests where appropriate, and new evidence.
For researcher-led formulation of mechanisms and falsifiable predictions, use ../hypothesis-generation/SKILL.md. For open-ended ideation, use the scientific brainstorming skill.