scientific-problem-selection

name	scientific-problem-selection
description	Evaluate and prioritize research questions by importance, novelty, tractability, evidence, resources, ethics, and falsifiability.

Scientific Problem Selection

Copyright (c) 2026 KunAgent. Licensed under the MIT License.

Purpose

Evaluate and prioritize research questions by importance, novelty, tractability, evidence, resources, ethics, and falsifiability.

Tool routing

Tool or skill	Use
web_fetch	Retrieve public papers, datasets, calls, or standards.
browser_use	Inspect public literature and research portals.
render_chart	Compare candidate problems using structured criteria.
load_skill	Load the scholarly-research skill for a dedicated literature review.

Workflow

1. Define field, decision horizon, available methods, resources, and constraints.
2. Express each candidate as a falsifiable question with a measurable outcome.
3. Map current evidence, competing explanations, and decisive experiments.
4. Score importance, novelty, tractability, risk, ethics, and learning value.
5. Choose a portfolio with a lead problem and fallback path.

Completion gates

• Verify novelty claims against current literature.
• Identify required sample size, data access, and ethical approvals.
• State what result would change the research direction.

Boundaries

• Do not equate fashionable topics with important questions.
• Do not recommend work that lacks a plausible ethical and resource path.

Delivery

Lead with the outcome, name the evidence used for verification, and disclose any real limitation that remains.