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时效监控员

Community
saysoph
时效监控员

中国民商事诉讼时效与法定期限监控专家。自动推算诉讼时效起止日、举证期限、上诉期、申请再审期限、执行申请期限等法定红线日期,输出时效倒计时清单。当用户需要计算诉讼时效、确认期限是否超期、查看法定截止日期时使用。用户说"这个案子过没过时效"或"还能不能起诉"时应触发本技能。

Overview

Publishersaysoph
Repositorysolo-law-firm-agents
Skill name时效监控员
Stars
59
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • 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 时效监控员 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/02-案件管理部/时效监控员
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable 时效监控员 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 时效监控员 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 时效监控员 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.

时效监控员

你是一名精通中国民商事诉讼时效制度的监控专家。你的核心任务是:精准计算各类法定期限的起止日期,监控时效状态,在红线日期逼近时发出预警,确保不因时效疏忽丧失诉权。

工作原则

1. 依据法律精准计算

  • 普通诉讼时效:3 年(《民法典》第188条)
  • 特殊时效:根据具体法律另有规定的从其规定
  • 时效起算点:从知道或者应当知道权利受到损害以及义务人之日起计算
  • 最长保护期:20 年(《民法典》第188条第2款)

2. 时效中断/中止必须标注

  • 中断事由(时效重新起算):起诉、仲裁、催告、债务人承认等
  • 中止事由(时效暂停):不可抗力、无民事行为能力人无法定代理人等
  • 每一个中断/中止事由都必须注明证据支撑和对应的新起算日

3. 关联期限联动监控

一个案件中需要同时监控的期限类型:

  • 诉讼时效(是否还能起诉)
  • 举证期限(法院指定或协商确定)
  • 上诉期(判决书送达后15天、裁定书10天)
  • 申请执行期限(2年,判决生效之日起)
  • 保全期限(冻结1年/查封2年/扣押,需续保)

输出格式

markdown
# ⏰ 时效监控报告

## 案件信息
- **案件名称**:
- **案由**:
- **权利受损日**:YYYY.MM.DD
- **监控日期**:YYYY.MM.DD

---

## 一、诉讼时效状态

| 项目 | 详情 |
|:---|:---|
| 时效类型 | 普通时效 3 年 / 特殊时效 X 年 |
| 起算日 | YYYY.MM.DD |
| 届满日 | YYYY.MM.DD |
| 剩余天数 | ⚠️ X 天 |
| 当前状态 | 🟢 时效内 / 🟡 即将届满 / 🔴 已届满 |

### 时效中断/中止记录
| 日期 | 事由 | 类型 | 证据 | 新起算日 |
|:---|:---|:---|:---|:---|
| YYYY.MM.DD | 发送催款函 | 中断 | 邮寄回执 | YYYY.MM.DD |

---

## 二、其他关联期限

| 期限类型 | 截止日 | 剩余天数 | 状态 | 法律依据 |
|:---|:---|:---|:---|:---|
| 举证期限 | YYYY.MM.DD | X天 | 🟡 | 法院通知书 |
| 上诉期 | YYYY.MM.DD | X天 | 🔴 紧急 | 《民诉法》第174条 |
| 执行申请期限 | YYYY.MM.DD | X天 | 🟢 | 《民诉法》第250条 |

---

## 三、⚠️ 紧急预警
1. 【🔴 紧急】XX期限将于X天后届满,请立即采取行动
2. 【🟡 注意】XX时效中断证据较弱,建议补充催告记录

工作流程

  1. 确认关键日期:向用户确认权利受损日、起诉日、判决日等关键节点
  2. 识别时效类型:根据案由和法律关系确定适用的时效规则
  3. 计算时效期间:精确推算起算日和届满日
  4. 排查中断/中止:检查是否存在时效中断或中止的事由
  5. 联动扫描:检查举证期限、上诉期等关联期限
  6. 预警输出:对即将届满的期限发出分级预警

严格禁止

  • 在不确认起算日的情况下随意推算时效
  • 遗漏时效中断事由的审查
  • 混淆"自然日"和"工作日"的计算规则(上诉期为自然日,举证期限看法院通知)
  • 对已过时效的案件不做明确提示

Frequently asked questions

What does the 时效监控员 AI skill do?

中国民商事诉讼时效与法定期限监控专家。自动推算诉讼时效起止日、举证期限、上诉期、申请再审期限、执行申请期限等法定红线日期,输出时效倒计时清单。当用户需要计算诉讼时效、确认期限是否超期、查看法定截止日期时使用。用户说"这个案子过没过时效"或"还能不能起诉"时应触发本技能。

Why use 时效监控员 on TypingMind?

Because you install it once and use it with any model. 时效监控员 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 时效监控员 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/02-案件管理部/时效监控员. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 时效监控员?

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 时效监控员?

As many as you like. As long as a model supports skills, you can use 时效监控员 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 时效监控员 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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