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.
安装
npx skills add K-Dense-AI/scientific-agent-skills --skill hypogenicnpx skills add K-Dense-AI/scientific-agent-skills --skill hypogenic -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill hypogenic -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path scientific-skills/hypogenicgh skill install K-Dense-AI/scientific-agent-skills hypogenicgit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/hypogenic ~/.claude/skills/hypogenic # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/hypogenic ~/.agents/skills/hypogenic # Codex, Cursor, Gemini CLI, Copilot, OpenCode