Build event adjudication skeleton for relationship and wealth

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# AI解盘工作流Prompt工程(AI Reading Workflow
> **适用场景**:AI收到出生信息、PDF星盘或文字星盘后,如何一步步执行完整的解盘+推运分析
> **版本**v5.0.0 | **更新日期**2026-04-27
> **版本**v5.1.0 | **更新日期**2026-06-27
> **来源标签**: 【工具/模板】 — AI解盘执行引擎工作流
> **优先级**:⭐⭐⭐⭐⭐(AI解盘质量的决定性文件)
> **定位**:本文件是AI解盘的**执行引擎**,将Skill中所有参考资料串联成可执行的工作流
> **v3.0重大变更**:三条入口路径明确分流,引擎全自动计算无需用户逐模块触发
> **v4.0重大变更**Step 0.5 Karaka系统自动识别(解决DK摇摆问题)、预测输出强制[A/B/C]标注、统一精度边界声明、来源标签体系引用
> **v5.0重大变更**:强制外部验证门控(MEVG)——新增核心原则"不凭记忆"、三个门控步骤(Step 3.11/4.10/5.5)嵌入工作流、与"不跳步"同级强制
> **v5.1重大变更**:事件判定骨架接入主工作流——新增 `Route -> Evidence Ledger -> Adjudication -> Output Contract` 四段式事件裁决层,并引入 marriage 专用 adjudicator。
---
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4. 重点展开当前Dasha激活的领域
5. 主动提示用户可以深入询问任何领域
### 2.3 事件判定骨架(v5.1 新增)
凡是以下题型,必须进入事件判定骨架,不得只靠 `strict route` 后直接写结论:
- marriage / relationship
- career / offer / promotion / project landing
- wealth / payment / gains / asset timing
- generic event verification
固定执行顺序:
1. `Route`
- 先冻结 **问题域**、**任务类型**、**目标粒度**
2. `Evidence Ledger`
- 把每个模块落成结构化证据块
3. `Adjudication`
-`Promise -> Activation -> Manifestation -> Timing`
4. `Output Contract`
- 只输出 `verdict + confidence + conflicts + audit + raw evidence`
详细协议:
- `references/event_judgment_skeleton.md`
- `references/event_judgment_marriage.md`
若问题属于婚恋,必须再额外执行 `event_judgment_marriage.md` 的专用裁决器。
---
## 阶段三:静态星盘分析(→ 多个参考文件)
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# Event Judgment Examples v1.0
> 作用:给事件判定骨架提供最小可执行范例,避免只停留在抽象规则。
---
## 示例一:婚恋窗口判断
### 问题
`When will I get married?`
### Route
- question_domain: `relationship`
- task_type: `prediction`
- target_granularity: `window`
### Evidence Ledger(最小示例)
```json
[
{
"module": "relationship_timing",
"subtechnique": "d9_ul_dk",
"question_domain": "relationship",
"verdict_role": "promise",
"signal": "supportive",
"strength": 0.82,
"raw_values": {"d9": "present", "ul": "present", "dk": "present"},
"engine": "native",
"ayanamsa": "lahiri",
"node_mode": "mean",
"template_id": "darakaraka_ul_spouse_depth",
"case_ref_ids": ["marriage-timing-v6"],
"maturity": "covered",
"notes": ""
},
{
"module": "relationship_timing",
"subtechnique": "dual_dasha",
"question_domain": "relationship",
"verdict_role": "activation",
"signal": "supportive",
"strength": 0.78,
"raw_values": {"vimshottari": "Venus/Rahu", "narayana": "Pisces/Jupiter"},
"engine": "native",
"ayanamsa": "lahiri",
"node_mode": "mean",
"template_id": "darakaraka_ul_spouse_depth",
"case_ref_ids": [],
"maturity": "covered",
"notes": ""
}
]
```
### Adjudication
- Promise: pass
- Activation: pass
- Manifestation: partial
- Timing: window only
### Output Contract
```json
{
"event_family": "relationship",
"verdict": "moderate_probability_window",
"confidence": "B",
"conflicts": [],
"primary_drivers": ["d9_ul_dk", "dual_dasha"],
"missing_evidence": ["kp_7h_sub_lord"],
"raw_evidence_refs": ["full-reading.modules.jaimini.darakaraka", "full-reading.modules.dasa_convergence"]
}
```
---
## 示例二:财富窗口判断
### 问题
`When will my wealth grow?`
### Route
- question_domain: `wealth`
- task_type: `prediction`
- target_granularity: `window`
### 关键约束
- 必须 `D2 / D11`
- 必须 `Vimshottari + Narayana`
- 必须 `Shadbala + Ashtakavarga`
- 若缺任一核心层,直接降为 `insufficient_evidence`
---
## 示例三:过去事件回测
### 问题
`Was my 2018 relationship event actually supported by the chart?`
### Route
- question_domain: `relationship`
- task_type: `backtest`
- target_granularity: `event_level verification`
### 输出要求
- 不只说“像不像”
- 必须输出 `A / B / C / Fail`
- 必须指出是 Promise 不足、Activation 不足,还是 Manifestation 不足
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# Marriage Event Adjudicator v1.0
> 这是 `relationship` 题目域的专用裁决器。用于婚恋、婚姻、配偶、正式关系、关系转正、长期关系是否成立等问题。
---
## 1. Route Freeze
先冻结三件事:
1. **任务类型**
- `prediction`
- `backtest`
- `rectification_support`
- `multi-option adjudication`
2. **目标粒度**
- `trend`
- `window`
- `month_level`
- `event_level verification`
3. **关系定义**
- `legal marriage`
- `formal partnership`
- `sustained relationship`
若关系定义不清,先说明判定对象再继续。
---
## 2. Mandatory Layers
婚恋题目至少必须展开:
- `D1`: 7H / 7L / Venus / Jupiter / Mars / Moon / DK
- `D9`: Lagna / 7H / 7L / Venus-Jupiter / DK
- `UL`
- `Vimshottari + Narayana`
- `Transit / Double Transit`
- `Vivah Saham`
- `Functional Benefic/Malefic`
若用户要求高严谨,还应尽量加:
- `KP 7H sub-lord`
- `Chara Dasha`
- `Argala on 7H / 7L / UL`
---
## 3. Evidence Ledger Roles
把婚恋证据按 4 种角色分类:
1. `promise`
- 7H / 7L / DK / UL / D9 是否支持婚恋承诺
2. `activation`
- Dasha / Transit / Double Transit / KP / Saham 是否激活
3. `manifestation`
- 这些激活是否足以落到现实关系成立,而不是只表现为暧昧、吸引、情绪事件
4. `timing`
- 若上三层成立,再给窗口或月份级判断
---
## 4. Marriage Adjudication Order
### 4.1 Promise
先问:
- 本命是否有婚恋承载力?
- D1 的 7H / 7L / Venus / Jupiter / DK 是否形成基本 promise
- D9 是否支持,还是明显削弱?
- UL 是否支持“正式关系/婚姻质量”?
若 promise 本身薄弱,不得直接因为某段 Dasha 激活就断定“必然结婚”。
### 4.2 Activation
必须检查:
- `Vimshottari` 是否激活 7H / 7L / Venus / Jupiter / DK / UL
- `Narayana` 是否同向
- `Transit / Double Transit` 是否对 7H / 7L / DK / UL 有作用
- `Vivah Saham` 是否支持
`Vimshottari``Narayana` 明显相反,标记 `mixed``blocked`
### 4.3 Manifestation
这一层专门防止“有窗口但没落地”。
要区分:
- `romantic activation`
- `relationship formation`
- `legal marriage`
- `public formalization`
尤其对名人、公职人物、长期恋爱者,要警惕“关系已成立,但婚礼日期只是社会安排”。
### 4.4 Timing
只有在 Promise + Activation + Manifestation 都通过后,才给:
- 趋势级
- 窗口级
- 月份级
- 事件验证级
若只能做到窗口级,必须明说不能上升到“具体婚礼日”。
---
## 5. Template Hooks
优先调用并引用:
- `darakaraka_ul_spouse_depth`
- `strict-workflow-router.md``relationship-timing-strict`
- `marriage-timing-validation-methodology.md`
若调用不到,必须在 Audit Table 里标注其对置信度的削弱。
---
## 6. Output Contract
婚恋输出最少要有:
1. `relationship verdict`
2. `confidence`
3. `main conflicts`
4. `Technique Audit Table`
5. `raw evidence`
示例 verdict
- `high_probability_window`
- `moderate_probability_window`
- `weak_window_needs_confirmation`
- `insufficient_evidence`
- `blocked`
---
## 7. Must-Not-Overclaim
以下情况必须降级或阻断:
- 只看 `Vimshottari` 没看 `Narayana`
- 只看 `DK` 没看 `UL/D9`
- 只看 `Double Transit` 就断婚期
- 只看单一文章规则
- 未说明 birth time precision
- 未说明 `Ayanamsa / Node mode`
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# Event Judgment Skeleton v1.0
> 用途:把分散在 `full-reading`、`dasha`、`jaimini`、`varga`、`kp`、`shadbala`、`ashtakavarga`、`references/verified-patterns-*` 中的证据,收束成统一的事件裁决链。
> 适用:marriage / career / wealth / health / generic event verification
---
## 1. Route
不要只按触发词路由。每次先识别三件事:
1. **问题域**
- `relationship`
- `career`
- `wealth`
- `health`
- `generic_event`
2. **任务类型**
- `prediction`
- `backtest`
- `rectification_support`
- `multi-option adjudication`
3. **目标粒度**
- `trend`
- `window`
- `month_level`
- `event_level verification`
若这三件事没有先冻结,不得继续下判。
---
## 2. Evidence Ledger
每个模块必须变成结构化证据块,而不是散乱叙述。
```json
{
"module": "marriage_timing",
"subtechnique": "double_transit",
"question_domain": "relationship",
"verdict_role": "activation",
"signal": "supportive|mixed|contradictory|blocked",
"strength": 0.0,
"raw_values": {},
"engine": "native|pyjhora|vedastro|jyotishganit",
"ayanamsa": "lahiri",
"node_mode": "mean|true",
"template_id": "darakaraka_ul_spouse_depth",
"case_ref_ids": [],
"maturity": "complete|covered|partial",
"notes": ""
}
```
最少要求:
- `module`
- `subtechnique`
- `verdict_role`
- `signal`
- `strength`
- `raw_values`
- `engine`
- `ayanamsa`
- `node_mode`
- `maturity`
---
## 3. Adjudication
所有事件判断必须按以下顺序:
1. **Promise**
- 本命是否有该主题的承载力?
- 禁止直接从 Dasha/Transit 跳到“会发生”
2. **Activation**
- Dasha / Transit / Annual / Jaimini / KP 是否激活?
3. **Manifestation**
- 是否足以落到现实事件,而不是只形成心理主题、机会接触或背景躁动?
4. **Timing**
- 若 Promise + Activation + Manifestation 都成立,才进入 timing 窗口判定
### 矛盾优先级
若不同证据块冲突,按以下顺序裁决:
1. `verified pattern / benchmark`
2. `cross-system convergence`
3. `classical rule with prerequisites satisfied`
4. `single module output`
若冲突无法裁决,必须输出 `blocked`
---
## 4. Confidence Mapping
置信度不得只按“有几个名人案例”判断,至少同时考虑以下 6 维:
1. `benchmark/case support`
2. `technique maturity`
3. `cross-system convergence`
4. `birth time precision`
5. `oracle closure status`
6. `contradiction severity`
建议映射:
- `A`:多案例 / benchmark 强支撑 + complete/covered + 多系统同向 + 参数清晰
- `B`:部分案例支撑 + 多模块同向 + 仍有轻微边界
- `C`:经典规则存在,但统计、闭环或关键层不足
- `D`:仅单一模块、关键层缺失或矛盾明显
---
## 5. Output Contract
最终输出必须包含:
1. `verdict`
2. `confidence`
3. `conflicts`
4. `Technique Audit Table`
5. `raw evidence`
最小 JSON 形态:
```json
{
"event_family": "relationship",
"verdict": "high_probability_window|moderate_probability_window|weak_window_needs_confirmation|insufficient_evidence|blocked",
"confidence": "A|B|C|D",
"conflicts": [],
"primary_drivers": [],
"missing_evidence": [],
"raw_evidence_refs": []
}
```
---
## 6. Hard Stops
以下任一项未满足时,不得包装成高严谨结论:
- 未显式声明 `Ayanamsa / Node mode`
- 未显式声明 `Functional Benefic/Malefic`
- timing 问题未完成 `Vimshottari + Narayana`
- 题目域分盘未展开(relationship -> D9/ULcareer -> D10/A10wealth -> D2/D11
- 外部 oracle 未闭环却假装全局封顶
- 缺少 `Technique Audit Table`
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# Wealth Event Adjudicator v1.0
> 这是 `wealth` 题目域的专用裁决器。用于收入、财富积累、到账、套现、资产扩张、估值跃升、公众财富地位等问题。
---
## 1. Route Freeze
先冻结三件事:
1. **任务类型**
- `prediction`
- `backtest`
- `rectification_support`
- `multi-option adjudication`
2. **目标粒度**
- `trend`
- `window`
- `month_level`
- `event_level verification`
3. **财富事件标签**
- `income_growth`
- `asset_accumulation`
- `liquidity_cashout`
- `public_wealth_status`
若财富事件标签不清,先说明判定对象再继续。
---
## 2. Four Wealth Layers
财富题目固定拆成四层:
1. `wealth promise`
2. `wealth activation`
3. `wealth manifestation`
4. `payout label`
### payout label 子类
- `income_growth`:收入增长、薪资提升、持续现金流增强
- `asset_accumulation`:资产沉淀、持仓扩大、房产/股权/长期财富积累
- `liquidity_cashout`:到账、套现、融资落袋、出售变现
- `public_wealth_status`:IPO、估值跃升、财富排行榜、公众财富可见度
---
## 3. Mandatory Layers
财富题目至少必须展开:
- `D1`: 2H / 11H / 5H / 9H / 10H / Jupiter / Venus / Mercury
- `D2`
- `D11`
- `D10`(若财富来自职业兑现)
- `Vimshottari + Narayana`
- `Shadbala`
- `Ashtakavarga`
- `Functional Benefic/Malefic`
高严谨时尽量补:
- `Argala on 2H / 11H`
- `A2 / A11 / A10`
- `KP`
- `Yogi / Dhana / Lakshmi template hooks`
---
## 4. Evidence Ledger Roles
把财富证据按 4 种角色分类:
1. `promise`
- 本命是否具备财富承载力或财富兑现潜力?
2. `activation`
- Dasha / Transit / Annual / KP / Jaimini 是否点燃财富主题?
3. `manifestation`
- 这些激活是否足以落到现实收益/资产/现金流,而不只是机会、焦虑或纸面波动?
4. `payout_label`
- 最终更像哪一类财富事件:收入增长、资产积累、套现到账、公众财富地位?
---
## 5. Wealth Adjudication Order
### 5.1 Promise
先问:
- 2H / 11H / 5H / 9H / 10H 是否给出财富承诺?
- D1 的财富 promise 是否得到 `D2 / D11 / D10` 支持?
- Jupiter / Venus / Mercury 在题目域里是增强器、兑现器还是干扰器?
- 是否存在强财富模板钩子:
- `lakshmi_dhana_activation_chain`
- `yogi_asc_tight_orb_wealth`
若本命 promise 薄弱,不得因为单次 transit 或单个 Dasha 就断定“发财”。
### 5.2 Activation
必须检查:
- `Vimshottari` 是否激活 2L / 11L / 5L / 9L / 10L / Jupiter / Venus / Mercury
- `Narayana` 是否同向
- `Transit Jupiter / Saturn / nodes` 是否对 2H / 11H / 10H 有实质推动
- `Shadbala / Ashtakavarga` 是否支持“强而可兑现”的状态
`Vimshottari``Narayana` 明显冲突,标记 `mixed``blocked`
### 5.3 Manifestation
这一层专门防止“有财运感,但没落到现实收益”。
要区分:
- `opportunity to earn`
- `actual income growth`
- `asset build-up`
- `cash-out / liquidity event`
- `public wealth visibility`
### 5.4 Payout Label
只有前三层通过后,才给最终财富事件标签。
禁止把所有财富事件都压成一个粗糙的“发财”。
---
## 6. Defect Typology
财富线沿用婚恋线的缺陷类型思路:
1. `promise weak`
2. `activation/convergence weak`
3. `manifestation split`
4. `payout-label failure`
### payout-label failure
定义:
- 旧体系高分
- 现实财富事件明确成立
- 新聚合器没有把它抬成正确的财富标签
这是财富线最重要的回归靶子之一。
---
## 7. Template Hooks
优先调用并引用:
- `lakshmi_dhana_activation_chain`
- `yogi_asc_tight_orb_wealth`
- `strict-workflow-router.md``wealth-timing-strict`
- `divisional-chart-deep-reading.md` 中的财富链 `D2 -> D4 -> D10 -> D11`
若调用不到,必须在 Audit Table 里标注其对置信度的削弱。
---
## 8. Output Contract
财富输出最少要有:
1. `wealth verdict`
2. `confidence`
3. `main conflicts`
4. `Technique Audit Table`
5. `raw evidence`
示例 verdict
- `high_probability_window`
- `moderate_probability_window`
- `weak_window_needs_confirmation`
- `insufficient_evidence`
- `blocked`
最终还要给出:
- `payout_label`
---
## 9. Must-Not-Overclaim
以下情况必须降级或阻断:
- 只看 `Vimshottari` 没看 `Narayana`
- 只看 `D1` 没展开 `D2 / D11`
- 把事业曝光误当成财富兑现
- 把纸面估值误当成流动性到账
- 未说明 birth time precision
- 未说明 `Ayanamsa / Node mode`
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### AI解盘工作流(2个)
0. **ai-reading-workflow-prompt.md**:AI解盘工作流Prompt工程(7阶段完整执行引擎)
0b. **quick-reference-guide.md**:⭐执行总控指南(本文件)
0c. **event_judgment_skeleton.md**:事件裁决总骨架(Route -> Evidence Ledger -> Adjudication -> Output Contract
0d. **event_judgment_marriage.md**:婚恋事件专用裁决器(Promise -> Activation -> Manifestation -> Timing
0e. **event_judgment_wealth.md**:财富事件专用裁决器(wealth promise -> activation -> manifestation -> payout label
### 核心方法论(9个)
1. **common-misconceptions.md**:印度占星常见误判与冲突问题集(错题本)⭐⭐⭐⭐⭐