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SKILL

hypothesis-generation

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypothesis-generation
Use with an agent

SUMMARY

What it does

This Agent Skill provides a structured workflow for scientific hypothesis generation. It guides users through defining research questions, generating rival hypotheses, specifying causal estimands, deriving discriminating predictions, operationalizing measurements, and creating preregistration-ready analysis plans. The skill emphasizes evidence-bounded reasoning, safety gates, and human accountability. It includes local, deterministic CLI tools for validating hypothesis records, operationalization checklists, prediction matrices, claim language, falsification controls, evidence ledgers, and preregistration scaffolds. The skill is designed for research contexts and explicitly avoids scoring or selecting hypotheses.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

research.hypothesis-generationweight 100 · confidence 90research.experimental-designweight 80 · confidence 80research.literature-searchweight 60 · confidence 70research.preregistrationweight 70 · confidence 80data.validationweight 50 · confidence 60

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.