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Structured hypothesis formulation from observations.
Passed 13 of 17 test cases with the skill, and 7 of 17 without it.
and 8 more in the full report
10 fixed8 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
In which appendix section of a hypothesis report should detailed quality evaluation tables assessing criteria like parsimony, testability, and falsifiability be located?
| Checked | Without skill | With skill |
|---|---|---|
| Places quality assessment tables and detailed evaluations in Appendix C. | Missed | Passed |
The instructions your model reads when the skill loads.
Hypothesis generation is a systematic process for developing testable explanations. Formulate evidence-based hypotheses from observations, design experiments, explore competing explanations, and develop predictions. Apply this skill for scientific inquiry across domains.
This skill should be used when:
⚠️ MANDATORY: Every hypothesis generation report MUST include at least 1-2 AI-generated figures using the scientific-schematics skill.
This is not optional. Hypothesis reports without visual elements are incomplete. Before finalizing any document:
How to generate figures:
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
The AI will automatically:
test cases passed, vs 7 / 17 without
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