hypothesis-synthesis
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/hypothesis-synthesis收集并整合所有中间产物,产出完整、去重、排序的最终假设集。
SKILL.md
.github/skills/hypothesis-synthesisView on GitHub ↗
---
name: hypothesis-synthesis
description: "SOP: 综合所有中间产物,产出最终结构化假设集"
version: 1.0.0
category: hypothesis-formation
type: sop
campaign: hypothesis-formulation
input: "所有中间产物(理论、机制、变量、关系、边界条件、可证伪性、竞争假设、对比矩阵)"
output: "最终假设文档(完整 6 组件结构 + 排序 + 关系说明)"
dependencies:
skills:
- subagent-spawning
---
# Hypothesis Synthesis
收集并整合所有中间产物,产出完整、去重、排序的最终假设集。
## HARD-GATE
<HARD-GATE>
前置条件(全部满足才能开始):
1. 已有 ≥2 个假设候选(来自上游任意步骤)
2. 每个假设至少有 statement + mechanism + falsification_scenario
不满足 → 停止,返回错误:假设候选不足或缺少必要组件。
</HARD-GATE>
## Pipeline
1. 前置检查:验证所有中间产物完整性
2. 收集全部假设候选:汇总来自 deductive/inductive/abductive 路径的所有假设
3. 去重合并:识别并合并机制相同的假设(保留最完整版本)
4. 完整性检查:确保每个假设包含全部 6 个组件(statement/variables/mechanism/boundary_conditions/falsification/measurability)
5. 排序:按证据支持度 + 可测试性 + 理论重要性综合排序
6. 关系说明:标注假设间关系(互补/竞争/独立/层级)
7. 格式化输出最终假设文档
## Output Format
```json
{
"summary": {
"total_hypotheses": 3,
"primary_hypothesis": "H1",
"reasoning_path": "deductive | inductive | abductive | mixed"
},
"hypotheses": [
{
"hypothesis_id": "H1",
"priority": 1,
"statement": "If X then Y under conditions Z",
"variables": {
"independent": "X",
"dependent": "Y",
"mediators": [],
"moderators": [],
"controls": []
},
"mechanism": "Causal chain explanation",
"boundary_conditions": {
"temporal": "...",
"spatial": "...",
"population": "...",
"conditional": [],
"exclusions": []
},
"falsification": {
"scenario": "...",
"testability": "high | medium | low"
},
"measurability": {
"iv_measure": "...",
"dv_measure": "..."
},
"evidence_support": "strong | moderate | weak | none",
"theoretical_basis": "Theory name(s)"
}
],
"hypothesis_relationships": [
{
"pair": "H1 and H2",
"relationship": "complementary | competing | independent | hierarchical",
"notes": "..."
}
],
"recommended_next_step": "Which hypothesis to develop into a research question first, and why"
}
```