Agent skill · research science · k-dense-ai
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.
Why this skill is useful
Provides structured methodologies for generating testable hypotheses and analysis plans that the AI wouldn't reliably generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-03. 32,849 stars on the source repository.
What this skill does
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 Non-negotiable boundaries Before using unpublished, sensitive, controlled, personal, proprietary, export-controlled, or security-relevant material: 1.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 Do not place sensitive or unpublished data in web searches or external AI systems without authorization. 4.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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills k-dense-ai/hypothesis-generation