SOP: 评估研究 gap 的可攻击性,识别瓶颈并输出可行性评分
Scanned 6/1/2026
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npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill feasibility-scoring --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: feasibility-scoring
description: "SOP: 评估研究 gap 的可攻击性,识别瓶颈并输出可行性评分"
version: 1.0.0
category: hypothesis-formation
type: sop
campaign: gap-prioritization
input: "GapRecord — 单条标准化 gap 记录"
output: "FeasibilityScore — 含维度分、综合分(1-5)、瓶颈列表及依据"
dependencies:
skills:
- subagent-spawning
---
# Feasibility Scoring
评估研究 gap 的可攻击性,识别瓶颈并输出可行性评分。
## HARD-GATE
<HARD-GATE>
- 输入必须是 status: "complete" 的 GapRecord
- 输出综合分必须在 [1, 5] 区间内
- 瓶颈列表(bottlenecks)必须存在,若无瓶颈则为空数组 []
- 每个子维度必须附带至少 1 句文字依据
</HARD-GATE>
## Pipeline
1. **前置检查**: 验证输入 GapRecord 完整性
2. **方法可用性评估**: 现有方法论工具箱是否足以攻击该 gap(1-5);参考:是否有成熟算法/框架可复用
3. **数据可获取性评估**: 所需数据集/语料库是否公开可得(1-5);参考:公开数据集存在性、数据规模需求
4. **资源需求评估**: 计算/实验资源需求是否在合理范围(1-5);参考:GPU 需求、实验室设备、经费
5. **时间框架评估**: 在典型博士/项目周期内是否可完成(1-5);参考:预期工作量、依赖链长度
6. **综合评分**: 四维度等权平均,保留一位小数;提取主要瓶颈(score ≤ 2 的维度)
7. **输出**: 返回 FeasibilityScore 对象
## Output Format
```json
{
"gap_id": "gap_001",
"dimension_scores": {
"method_availability": { "score": 4, "rationale": "..." },
"data_accessibility": { "score": 2, "rationale": "..." },
"resource_requirements": { "score": 3, "rationale": "..." },
"time_horizon": { "score": 3, "rationale": "..." }
},
"composite_score": 3.0,
"bottlenecks": ["data_accessibility"],
"overall_rationale": "综合依据(2-4句)"
}
```
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