Skills

Hypothesis Generation

Formulate evidence-bounded scientific questions, candidate hypotheses, rival...

Install

npx skills add K-Dense-AI/claude-scientific-writer --skill hypothesis-generation -g -a claude-code -y
Category
Data and ML
Updated
5d ago
License
MIT
Context cost
Mediumabout 3,000 tokens
Runs scripts
Yes, review before use

What it does

Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Use when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.

Scientific Hypothesis Generation

Turn an observation into a transparent set of candidate explanations and tests. A hypothesis is a proposal to be challenged, not a finding, fact, diagnosis, or recommendation.

Non-negotiable boundaries

Before using unpublished, sensitive, controlled, personal, proprietary, export-controlled, or security-relevant material:

  1. Confirm authorization and the applicable institutional, funder, publisher, data-use, privacy, and AI policies.
  2. Keep the material local unless an authorized human explicitly approves a named external destination and data scope.
  3. Minimize inputs. Do not place sensitive or unpublished data in web searches or external AI systems without authorization.
  4. Stop at the appropriate human, animal, biosafety, dual-use, data-governance, or regulatory gate.

Never:

  • present a hypothesis, mechanism, causal effect, citation, or apparent pattern as established evidence;
  • claim novelty because a quick search found nothing;
  • infer causation from association, temporal order alone, predictive accuracy, or model output;
  • supply patient-specific diagnosis, treatment, dose, prognosis, or other clinical advice;
  • provide harmful experimental optimization or operational detail for pathogens, toxins, weapons, evasion, or other misuse;
  • bypass IRB/REC, IACUC, IBC, biosafety, dual-use, privacy, legal, or regulatory review;
  • fabricate sources, identifiers, search coverage, data, results, approvals, or preregistration;
  • automatically score, rank, select, accept, or reject scientific hypotheses.

If a request crosses a safety gate, produce only a high-level risk/oversight note and route it to the qualified local authority. Do not continue with operational detail.

Keep the objects distinct

Read the whole SKILL.md on GitHub

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