Agent Skills
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scientific-problem-selection
GitHub评估和优先排序研究问题，依据重要性、新颖性、可行性、证据、资源、伦理及可证伪性。通过定义领域、构建可检验问题、映射证据与实验、多维度评分，最终选择包含主问题和备选路径的研究组合。
Trigger Scenarios
需要评估多个潜在研究问题的优先级
进行科学研究选题决策
审查研究提案的可行性和创新性
Install
npx skills add KunAgent/Kun --skill scientific-problem-selection -g -y
SKILL.md
Frontmatter
{
"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
- Define field, decision horizon, available methods, resources, and constraints.
- Express each candidate as a falsifiable question with a measurable outcome.
- Map current evidence, competing explanations, and decisive experiments.
- Score importance, novelty, tractability, risk, ethics, and learning value.
- 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.
Version History
- a984912 Current 2026-09-09 01:50
