ahrq-picme-assessment
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/ahrq-picme-assessment使用 AHRQ PiCMe 框架对研究 gap 进行 6 维度系统评估。
SKILL.md
.github/skills/ahrq-picme-assessmentView on GitHub ↗
---
name: ahrq-picme-assessment
description: "SOP: 使用 AHRQ PiCMe 框架对研究 gap 进行 6 维度系统评估"
version: 1.0.0
category: hypothesis-formation
type: sop
campaign: gap-prioritization
input: "GapRecord — 单条标准化 gap 记录"
output: "PiCMeAssessment — 6 维度独立评分、综合判定及研究问题草稿"
dependencies:
skills:
- subagent-spawning
---
# AHRQ PiCMe Assessment
使用 AHRQ PiCMe 框架对研究 gap 进行 6 维度系统评估。
## HARD-GATE
<HARD-GATE>
- 输入必须是 status: "complete" 的 GapRecord
- 6 个维度(P/I/C/M/E + 综合判定)必须全部完成,不得跳过
- 每个维度必须有独立评分(1-5)和文字说明
- overall_verdict 必须为 "strong" | "moderate" | "weak" 之一
</HARD-GATE>
## Pipeline
1. **前置检查**: 验证输入 GapRecord 完整性;确认 domain 字段有效
2. **Population (P)**: 明确该 gap 涉及的目标人群/系统/数据集;评估定义清晰度(1-5)
3. **Intervention (I)**: 明确拟议的干预/方法/解决方案;评估可操作性(1-5)
4. **Comparator (C)**: 明确对比基线(现有 SOTA、无干预、替代方案);评估基线合理性(1-5)
5. **Metrics (M)**: 明确评估指标;评估指标的可测量性和相关性(1-5)
6. **Evidence (E)**: 评估现有证据对该 gap 存在性的支持强度(1-5)
7. **综合判定**: 基于 5 维度均值判定整体质量(strong ≥ 3.5 / moderate 2.5-3.4 / weak < 2.5);生成研究问题草稿
8. **输出**: 返回 PiCMeAssessment 对象
## Output Format
```json
{
"gap_id": "gap_001",
"dimensions": {
"population": { "score": 4, "description": "目标人群描述", "rationale": "..." },
"intervention": { "score": 3, "description": "干预/方法描述", "rationale": "..." },
"comparator": { "score": 3, "description": "对比基线描述", "rationale": "..." },
"metrics": { "score": 4, "description": "评估指标描述", "rationale": "..." },
"evidence": { "score": 4, "description": "证据强度描述", "rationale": "..." }
},
"mean_score": 3.6,
"overall_verdict": "strong",
"research_question_draft": "研究问题草稿(1句)",
"improvement_suggestions": ["建议1", "建议2"]
}
```
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