Individual skill
hypothesis-generation
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.
skills/hypothesis-generation/SKILL.md
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SKILL.mdcore · 15,725 bytesSKILL.mdcore · 15,725 bytesSKILL.mdcore · 15,725 bytesSKILL.mdcore · 15,725 bytesSKILL.mdcore · 15,725 bytesSKILL.mdcore · 15,725 bytesassets/evidence_ledger_template.csvasset · 581 bytesassets/falsification_controls_template.jsonasset · 5,880 bytesassets/hypothesis_record_template.jsonasset · 13,768 bytesassets/operationalization_template.jsonasset · 2,208 bytesassets/prediction_rival_matrix_template.csvasset · 1,638 bytesassets/preregistration_scaffold_template.mddoc · 5,005 bytesassets/search_boundary_template.jsonasset · 1,114 bytesassets/source_ledger.csvasset · 12,750 bytesreferences/causal_inference_and_claims.mddoc · 7,777 bytesreferences/concepts_and_workflow.mddoc · 7,341 bytesreferences/ethics_safety_and_ai.mddoc · 9,891 bytesreferences/experimental_design_patterns.mddoc · 9,765 bytesreferences/hypothesis_quality_criteria.mddoc · 8,035 bytesreferences/literature_search_strategies.mddoc · 8,046 bytesreferences/preregistration_and_open_science.mddoc · 6,721 bytesreferences/security_validation.mddoc · 3,650 bytesreferences/source_ledger.mddoc · 7,410 bytesreferences/tool_reference.mddoc · 8,070 bytesscripts/_common.pyruns · 14,234 bytesscripts/audit_evidence_ledger.pyruns · 12,069 bytesscripts/check_falsification_controls.pyruns · 16,477 bytesscripts/check_operationalization.pyruns · 8,086 bytesscripts/generate_preregistration_scaffold.pyruns · 14,349 bytesscripts/lint_causal_claims.pyruns · 6,809 bytesscripts/validate_hypothesis_schema.pyruns · 38,955 bytesscripts/validate_prediction_matrix.pyruns · 9,815 bytes
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# 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Before using unpublished, sensitive, controlled, personal, proprietary, export-controlled, or security-relevant material: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: