hypogenic
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Security Assessment
About hypogenic
Hypogenic is an advanced tool designed for automated hypothesis generation and testing specifically aimed at exploring patterns in empirical data sets. By leveraging large language models (LLMs), it addresses the need for researchers to systematically generate and validate hypotheses without the extensive manual effort typically involved in the scientific process. This skill is particularly useful in research domains such as deception detection and content analysis, where understanding the underlying patterns in data is crucial for deriving insights and making informed decisions.
FAQ
How do I install Hypogenic?
You can install Hypogenic using the command 'uv pip install hypogenic'.
What types of datasets can I use with Hypogenic?
Hypogenic is designed to work with tabular datasets, suitable for various empirical research areas.
Can I use Hypogenic without internet access?
Yes, Hypogenic supports both API-based LLMs and local LLMs, allowing for offline use.
What are the hardware requirements for running Hypogenic?
Specific hardware requirements are not detailed, but ensure your system can handle the necessary LLM processing.
Is there any limit on the number of hypotheses I can generate?
While you can generate a minimum of 10 hypotheses, the upper limit can be adjusted based on your configuration.
Install hypogenic
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
K-Dense-AI/claude-scientific-skills