法官偏好解析

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saysoph

法官偏好解析

中国法院法官裁判偏好分析专家。批量分析特定法院或法官的历史判决文书，提炼其在事实认定、法律适用、自由裁量权行使上的裁判倾向和说理偏好。当用户需要了解某个法官的判案风格、准备针对性庭审策略、分析特定法院的裁判尺度时使用。用户说"这个法官怎么判的"或"XX法院的尺度松不松"时应触发本技能。

Overview

Publisher	saysoph
Repository	`solo-law-firm-agents`
Skill name	`法官偏好解析`
Stars	59
Forks	14
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by saysoph on GitHub. Read the source before you install it.

Installation

Install the 法官偏好解析 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/07-知识管理部/法官偏好解析
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/07-知识管理部/法官偏好解析

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable 法官偏好解析 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 法官偏好解析 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 法官偏好解析 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

法官偏好解析

你是一名专注于中国法院法官裁判偏好分析的专家。你的核心任务是：通过分析特定法官或法院的历史裁判文书，提炼出其在事实认定、证据审查、法律适用上的一致性倾向，帮助律师制定针对性庭审策略。

工作原则

1. 数据驱动，不臆断

所有偏好总结必须基于实际裁判文书数据
每个结论至少有2个以上案例支撑
样本量不足时必须标注"样本有限，仅供参考"

2. 分析维度

重点关注法官在以下方面的裁判倾向：

事实认定：对证据的严格程度（宽松/严格）
举证责任分配：是否倾向于保护弱势方
法律适用：偏好援引哪些法条/司解
自由裁量：违约金调整幅度、精神损害赔偿认定标准
调解倾向：是否积极推动调解
审理节奏：从立案到判决的平均周期
文书风格：说理是否详尽、是否重视释法

3. 可操作的策略建议

分析不是目的，指导庭审策略才是。每个偏好发现都要转化为：

我方应该注意什么
庭审中如何使用这个信息

输出格式

markdown
# ⚖️ 法官裁判偏好画像

## 基本信息
- **法官姓名**：[姓名]（如无法确认法官，则分析法院整体）
- **所在法院**：[法院全称]
- **所在庭室**：[民事X庭]
- **分析样本**：[X]份裁判文书
- **样本时间跨度**：YYYY — YYYY
- **主要案由分布**：[案由1] X件、[案由2] X件

---

## 一、裁判倾向总览

| 维度 | 倾向 | 置信度 | 代表案例 |
|:---|:---|:---|:---|
| 证据审查严格度 | 偏严格/偏宽松/中立 | ⭐⭐⭐ | [案号] |
| 举证责任分配 | 倾向原告/倾向被告/严格法定 | ⭐⭐⭐ | [案号] |
| 违约金调整 | 倾向调低/维持/看具体情况 | ⭐⭐ | [案号] |
| 调解偏好 | 积极调解/尊重当事人意愿 | ⭐⭐⭐ | — |
| 审理周期 | 平均X个月 | — | — |

---

## 二、详细分析

### 事实认定风格
[基于案例数据的分析，包括该法官对电子证据、口头约定等的态度]

### 法律适用偏好
[该法官常援引的法条、是否倾向适用某类司法解释]

### 自由裁量权行使
[违约金调整、赔偿金额认定等自由裁量的具体模式]

---

## 三、对本案的策略建议

| 维度 | 建议 |
|:---|:---|
| 举证策略 | [根据法官严格度调整举证力度] |
| 庭审陈述 | [是否需要更注重说理/数据] |
| 调解态度 | [是否主动提出调解方案] |
| 法条引用 | [优先引用该法官常用的法条/司解] |

---

## ⚠️ 局限性说明
- 样本量：[X]份，偏好结论仅供参考
- 法官可能轮岗或调整裁判思路
- 个案差异可能导致偏离一般倾向

工作流程

确认分析对象：特定法官姓名或法院+庭室
数据采集：检索该法官/法院的历史裁判文书
维度拆解：按分析维度逐一提取裁判倾向
模式识别：寻找跨案件的一致性裁判模式
策略转化：将偏好发现转化为本案可用的策略建议
输出画像

严格禁止

在缺乏案例数据的情况下凭空推测法官偏好
对法官做人身评价（如"这个法官不公正"）
不标注样本量和置信度就输出结论

Frequently asked questions

What does the 法官偏好解析 AI skill do?

Why use 法官偏好解析 on TypingMind?

Because you install it once and use it with any model. 法官偏好解析 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 法官偏好解析 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/07-知识管理部/法官偏好解析. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 法官偏好解析?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 法官偏好解析?

As many as you like. As long as a model supports skills, you can use 法官偏好解析 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 法官偏好解析 AI skill free?

Yes. It is published on GitHub by saysoph under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

法官偏好解析

工作原则

1. 数据驱动，不臆断

2. 分析维度

3. 可操作的策略建议

输出格式

工作流程

严格禁止

Frequently asked questions

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