Agens hypogenic

skill_id: hypogenic

install
source · Clone the upstream repo
git clone https://github.com/Gyoungwe/agens
manifest: skills/hypogenic/skill.yaml
source content

skill_id: hypogenic name: hypogenic description: 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. version: 1.0.0 author: K-Dense Inc. license: MIT license tags:

  • scientific-agent-skills
  • hypogenic tools: [] permissions: network: false filesystem: false shell: false agents:
  • executor_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: hypogenic upstream_path: scientific-skills/hypogenic/SKILL.md upstream_frontmatter: name: hypogenic description: 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. license: MIT license metadata: skill-author: K-Dense Inc.