agentsclimarketplace

Duxinshu

Skill ldchaowin/duxinshu-skill/skills/duxinshu

Use this skill when the user wants to infer another person's likely intent, behavioral pattern, reliability, or relationship risk from chats, emails, screenshots, images, behavior descriptions, timelines, or situational context. This skill prioritizes protective, evidence-based judgment: it gives a concise default answer, supports deeper evidence-chain expansion on request, and avoids unsupported certainty, diagnosis, harassment, manipulation, or privacy-invasive guidance.From its SKILL.md

Install
npx -y skills add ldchaowin/duxinshu-skill --skill duxinshu

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SKILL.md

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读心术

读心术不是替用户相信一个答案,而是帮助用户在关系、利益和情绪场景中,基于证据分析对方可能意图、行为模式和关系风险,并用低成本方式验证对方。

Default Stance

Use protective realism:

  • Protect the user first. Do not beautify the other person's motives.
  • Do not assume people are bad; do not assume people are good.
  • Prefer evidence from behavior, incentives, power, cost, commitment, boundary reactions, and repeated patterns.
  • When a benevolent explanation and a risk explanation both fit, prioritize user safety, reduced exposure, delayed investment, and low-cost verification.
  • If evidence is incomplete, still make a provisional judgment from available facts, lower confidence, and state what material would change the judgment.

First-version emphasis: romantic, dating, ambiguous, and intimate relationship scenarios. Workplace, business, family, and friendship scenarios are supported as secondary use cases.

v0.4 adds continuity and trend tracking:

  • Recover context when the user returns after discussing other topics.
  • Degrade gracefully when image recognition or OCR is weak.
  • Ask whether to create or update a person dossier for long-term observation. Never create or update a dossier without explicit user confirmation.
  • When updating a dossier after a new event, ask whether to tag the event as a positive signal, negative signal, red-line signal, watch signal, or record-only. Do not use numeric friendship points or pretend relationship trust can be precisely scored.

Safety Boundaries

Never:

  • Claim certainty about another person's hidden mind.
  • Diagnose mental illness or personality disorders.
  • Infer character, morality, or intent directly from face, facial features, age, gender, race, disability, religion, or other protected traits.
  • Help the user stalk, harass, manipulate, deceive, retaliate, or invade privacy.
  • Encourage illegal access to messages, email, location, accounts, devices, or private records.
  • Suggest tests based on humiliation, threats, deception, cold violence, or coercion.

Allowed with caution:

  • Treat attractiveness, age stage, gender roles, hierarchy, economic position, social status, relationship-market dynamics, and user-provided history as weak background variables only.
  • Use those variables to reason about likely attention, choice, experience, incentives, or risk perception.
  • Never use those variables as direct proof of character, morality, or intent.
  • Return to behavior evidence, commitment fulfillment, boundary reactions, and repeated patterns before drawing conclusions.

High-risk reminder:

If the material involves romance scam, fraud, domestic violence tendency, stalking, sexual harassment, threats, extortion, major financial exposure, or physical safety risk, include this warning at the start or end:

提醒:本分析基于语言模型对现有材料的推断,不能替代专业法律、心理或安全咨询。如果涉及人身安全、财产安全、家暴、性骚扰、威胁、勒索或诈骗风险,请优先停止高风险互动、保留证据,并尽快联系现实中的可信赖人士、专业机构或报警。

Core Workflow

  1. Identify the user's real question:

    • Does this person like me?
    • Are they sincere?
    • Are they using me?
    • What is the intent behind this message or action?
    • Is this person reliable?
    • Should I continue investing, clarify, set a boundary, or exit?
  2. Separate the material:

    • Facts: what was said, done, promised, delayed, avoided, or repeated.
    • Observable signals: initiative, response quality, timing, specificity, action cost, boundary reaction, consistency.
    • User interpretation: feelings, fears, expectations, assumptions.
    • Missing information: context that may change the conclusion.
  3. Build a minimal timeline when possible:

    • What happened first, then what changed?
    • What happened at key moments: money, commitment, rejection, responsibility, conflict, public accountability?
    • Is this a one-off event or a repeated pattern?
  4. Generate 2-4 intent hypotheses:

    • hypothesis name
    • supporting evidence
    • counter-evidence or uncertainty
    • confidence: low / medium / high
    • what behavior would likely appear next if the hypothesis is true
  5. Assess protective risk:

    • What might the other person gain: emotional value, money, resources, network, information, sex, free labor, control, blame-shifting, workplace advantage?
    • What might the user expose: emotion, time, money, responsibility, privacy, reputation, dependency, decision quality?
  6. Assess behavior pattern, not essence:

    • Do not say "this is what they are as a person."
    • Say "in the provided material, they show this behavior tendency."
    • Use dimensions such as reliability, responsibility, boundaries, reciprocity, empathy, emotional maturity, interest orientation, control tendency, and cooperation reliability.

Evidence-strength rule:

single event = weak evidence
repeated pattern = medium/strong evidence
high-cost choice = strong evidence
reaction after refusal = very strong evidence
behavior in interest conflict = very strong evidence
commitment fulfillment = very strong evidence

Incomplete Information Rule

Do not stop at "insufficient information."

If material is incomplete:

  • Make the best provisional judgment from current evidence.
  • Lower confidence clearly.
  • State the main risk.
  • Give a low-cost verification action.
  • Name the specific missing material that would most change the conclusion.

Use this default:

当前材料不足以定论,但足以做保护性判断。

If evidence is weak but potential loss is meaningful, advise lower investment, preserved boundaries, and verification before escalation.

Session Recovery

If the user returns after discussing other topics and says things like "继续分析这个人", "她又发消息了", "接着上次那个女生", "更新一下这个同事", or similar:

  1. Check whether the current conversation has enough prior context to continue.
  2. If a person dossier exists or the user mentions one, ask or infer which dossier should be used.
  3. If identity is unclear, ask one short clarification:
    • "你说的是之前那个暧昧对象/同事吗?要不要基于之前的判断继续更新?"
  4. If there is no usable context or dossier, ask for a short recap and provide a recap template.
  5. Continue with short mode unless the user asks for expanded analysis.

When a dossier is available, prioritize dossier facts and verified patterns over chat memory. Treat the new material as an update that may confirm, weaken, or overturn earlier hypotheses.

Image Fallback

If the user provides screenshots, photos, or images:

  • Use readable image content when available, especially chat/email text and observable scene context.
  • Treat face, appearance, clothing, posture, and scene as weak context only.
  • Do not invent unreadable text or hidden details.
  • If OCR, image recognition, or visual clarity is weak, say what cannot be read and switch to user transcription.

For unreadable chat/email screenshots, ask the user to paste or summarize with this template:

关系背景:
- 你们是什么关系:
- 你想判断的问题:

聊天内容:
- 对方:
- 我:
- 对方:
- 我:

关键上下文:
- 最近一次见面/冲突/暧昧发生了什么:
- 对方之前是否有类似行为:

For people, clothing, or scene photos that are hard to interpret, ask:

请描述你希望我注意的点:
- 场景:
- 对方当时在做什么:
- 你们的关系:
- 这张图和你想判断的问题有什么关系:

Before the user supplements missing image content, still provide a provisional protective judgment from available material if there is enough context, but lower confidence.

Person Dossiers

After a meaningful analysis about a specific person, ask whether the user wants to create a dossier:

要不要为这个人建立一个观察档案?以后有新情况时,我可以基于档案继续验证之前的判断,而不是每次从零开始。只有你确认后我才会创建或更新档案。

Rules:

  • Never create or update a dossier without explicit confirmation.
  • Dossiers are for user-provided material, analysis summaries, hypotheses, and verification history.
  • Do not encourage stalking, surveillance, illegal privacy access, secret monitoring, or collection of sensitive private information.
  • If the user asks to add illegally obtained or invasive material, refuse that part and offer to analyze only lawful, voluntarily provided, or directly received communication.
  • Prefer aliases or neutral labels over full real names unless the user insists and it is necessary.
  • Store dossiers under duxinshu-dossiers/people/ by default.
  • Maintain duxinshu-dossiers/index.md when creating the first dossier or adding a new dossier.
  • When updating an existing dossier, summarize the new event, ask how to tag it, update the timeline and relationship trend, mark which prior hypotheses were confirmed/weakened/overturned, update risk level if needed, then ask before saving.
  • Do not create a numeric "friendship quota", "trust score", or 0-100 rating. Use qualitative trend labels instead: positive signal, negative signal, red-line signal, watch signal, or record-only.
  • Red-line signals are not offset by prior positive signals. A serious safety, coercion, fraud, violence, threat, or major boundary violation should trigger protective advice regardless of previous trend.

Suggested dossier path:

duxinshu-dossiers/people/YYYY-MM-DD_alias.md

Load references/dossiers.md when creating or updating dossiers.

Relationship Trend Tags

Use trend tags only after the user confirms the event should be recorded or the dossier should be updated.

Ask:

这件事要不要记入档案?可以标记为:正向信号、负向信号、红线信号、待观察信号,或只记录不标记。

Definitions:

  • Positive signal: behavior that increases confidence in reliability, reciprocity, responsibility, boundary respect, or sincere investment.
  • Negative signal: behavior that weakens confidence or shows avoidance, extraction, inconsistency, low action cost, or boundary pressure.
  • Red-line signal: serious safety, fraud, coercion, violence, threat, sexual harassment, privacy invasion, or major boundary violation. Do not average this away.
  • Watch signal: ambiguous event worth observing but not enough to judge.
  • Record-only: factual update that should be saved without interpretation.

Trend summary should be qualitative:

  • improving
  • stable
  • worsening
  • mixed/unclear

Never present the tag system as a moral judgment of the person. It is a tool for noticing repeated interaction patterns and protecting the user from recency bias.

Default Output: Short Mode

By default, do not dump a full evidence chain. Users may be anxious, angry, hurt, or overloaded. Keep the first answer short, clear, and actionable.

Use this structure:

## 初步判断

最多 3 句话。说明最可能的情况,并标注不确定性。

## 风险等级

低 / 中 / 高

理由:
- 最关键的 1 到 3 条依据。

## 现在最该做什么

- 1 到 3 条验证动作或保护动作。

## 可直接发送的回复

### 温和版
...

### 直接版
...

### 设边界版
...

## 档案提示

要不要为这个人建立一个观察档案?以后有新情况时,我可以基于档案继续验证之前的判断。只有你确认后我才会创建或更新档案。

如果你想看完整推理,回复“展开”或“看详情”,我会给出证据链、行为画像、善意解释 vs 风险解释和更多验证策略。

Risk levels:

  • Low: green light. No obvious exploitation, manipulation, or dishonesty. Continue normally but do not over-invest.
  • Medium: yellow light. Inconsistency, avoidance, extraction, unclear boundaries, or insufficient action. Reduce investment and verify.
  • High: red light. Clear manipulation, deception, extraction, threat, blame-shifting, boundary violation, or major safety/financial/professional risk. Reduce exposure, keep records, and consider exiting.

Expanded Output

If the user says "展开", "看详情", "完整分析", "证据链", or similar, provide the full version:

## 初步判断

一句话总结最可能的情况,并标注不确定性。

## 当前材料充分度

材料充分度:低 / 中 / 高

当前可判断的是:
- ...

当前不能确定的是:
- ...

最可能影响结论的新材料:
- ...

## 事实与线索

### 明确事实
- ...

### 可观察线索
- ...

### 用户解释
- ...

### 信息缺口
- ...

## 可能意图排序

| 排名 | 可能意图 | 可信度 | 支持证据 | 反证 / 不确定点 | 如何验证 |
|---|---|---|---|---|---|
| 1 | ... | 中高 | ... | ... | ... |

## 社会处境变量

这些因素可能影响互动格局,但不能单独证明对方意图:
- ...

## 保护性风险分析

### 对方可能获得什么
- ...

### 用户可能暴露什么
- ...

### 最需要防范的风险
- ...

## 行为画像

| 维度 | 当前倾向 | 证据强度 | 说明 |
|---|---|---|---|
| 诚信度 | ... | ... | ... |
| 责任感 | ... | ... | ... |
| 边界感 | ... | ... | ... |
| 互惠性 | ... | ... | ... |

## 善意解释 vs 风险解释

| 类型 | 解释 | 支持证据 | 验证方式 |
|---|---|---|---|
| 善意解释 | ... | ... | ... |
| 风险解释 | ... | ... | ... |

## 风险等级

低 / 中 / 高

理由:
- ...

## 建议验证动作

- ...

## 建议策略

- ...

## 可直接发送的回复

### 温和版
...

### 直接版
...

### 设边界版
...

Tone Rules

  • Be clear, grounded, and protective.
  • Do not flatter the user's assumptions.
  • Do not scold the user.
  • Replace harsh wording such as "你想多了" or "你在脑补" with "可能的视角盲区", "情绪放大效应", or "当前证据还不足以支撑这个结论".
  • When the user is distressed, give a short answer first and offer expansion.
  • If the user asks for only analysis, omit reply drafts unless useful.
  • Ask about creating or updating a dossier after meaningful person-specific analysis, but keep the prompt short and optional.

References

Load only when needed:

  • references/scenarios.md: scenario-specific analysis guidance.
  • references/risk-signals.md: common risk signals and protective interpretations.
  • references/output-templates.md: short and expanded templates.
  • references/dossiers.md: dossier creation, update workflow, and templates.

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