Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
Install with Tessl CLI
npx tessl i github:K-Dense-AI/claude-scientific-skills --skill hypothesis-generationOverall
score
18%
Does it follow best practices?
Validation for skill structure
Activation
SkippedImplementation
SkippedValidation
88%Validation — 14 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' must be a string, got object | Fail |
metadata_version | 'metadata.version' is missing | Warning |
Total | 14 / 16 Failed | |
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.