MctMilk

法条结构化拆解

Professionalv1.0.0
By MctMilkUpdated 2026-05-11legal-structural-analysis-mctmilk@clawhub_mctmilk/legal-structural-analysis-mctmilk
Legal & Compliance

According to AlphaMoat, as of 2026-09, 法条结构化拆解 has 1,596 downloads and 1 stars — ranked #4,705 of 5,078 AI skills overall, and #425 of 465 in Professional.

Installs
181
Downloads
1.6K
Stars
1
Overall Rank
#4,705
Top 93% overall · Top 92% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗241.1K1-
SkillHub ↗1811.6K1—

Platforms count differently and update at different times.

What this skill does

Organize the provision by rule type, rights and obligations holders, elements, legal effects, exceptions, and concepts requiring interpretation, then present a table and checklist. Use the provision supplied by the user as source material; jurisdiction and case-specific conclusions may require further verification, and the analysis is not legal advice.

Profile published 2026-10-27

What you can do with it

  • Map the provision’s subjects, elements, and legal effects
  • Identify provisos, exceptions, and uncertain terms
  • Summarize the analysis in a table and checklist

When to use it

  • When a user provides a provision and asks to understand its structure
  • When jurisdiction, applicable version, or case-specific effects need verification

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Analyze this provision by rule type, parties, elements, legal effects, and exceptions, and flag points requiring verification.

Monthly Trend

Downloads1.6K
1619321.7K2026-03 · Downloads 2672026-05 · Downloads 6942026-06 · Downloads 8172026-07 · Downloads 1.0K2026-08 · Downloads 1.3K2026-09 · Downloads 1.6K26-0326-09
Stars1
0112026-03 · Stars -2026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.6K—1
2026-081.3K+25.5%1
2026-071.0K+27.8%1
2026-06817+17.7%1
2026-05694—1
2026-03267—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

1.9 KB · ClawHub v1.0.0
---
name: legal-structural-analysis-mctmilk
description: 对法条进行结构化拆解,分析规范类型、适用主体、构成要件、法律效果等七个维度。当律师或法律学习者需要"拆解"法条、理解法条骨架时使用。
---

# 法条结构化拆解 (Legal Structural Analysis)

## 触发场景

- 用户提供一个法条,要求分析其结构
Show all (54 lines)
- 用户说"拆解这个法条"、"分析法条结构"、"把这个法条拆骨"
- 用户想看清某个法条有哪些构成要件、法律效果是什么

## 核心提示词

将以下提示词发送给 AI 模型:

```
请对以下法条进行结构化拆解:

【法条全文】:(粘贴法条原文)

请按以下维度逐一分析:
1. 规范类型:授权性、义务性还是禁止性规范?
2. 适用主体:谁是义务主体?谁是权利主体?
3. 构成要件:逐一列出触发该法条适用的全部要件
4. 法律效果:满足要件后产生什么法律后果?
5. 但书/例外:是否存在除外情形?
6. 关键法律概念:标出需要进一步解释的不确定法律概念
7. 请用一张表格汇总以上内容
```

## 输出要求

1. **表格汇总**:用 Markdown 表格呈现七维度分析结果
2. **构成要件清单**:每个要件单独列出,标注清楚
3. **不确定概念标注**:标出需要深挖的模糊词

## 示例

输入:`《民法典》第1165条 过错责任原则`

输出应包含:
- 规范类型:授权性规范(权利人可请求损害赔偿)
- 适用主体:侵权行为人(义务主体)、受害人(权利主体)
- 四个构成要件:行为、损害、因果关系、过错
- 关键概念:`过错`、`因果关系`(需进一步界定)

## 注意事项

- 如果法条较长,先确认用户想重点分析哪部分
- 表格是必选项,便于用户直观理解
- 标注不确定概念时,提示用户可以用 `legal-concept-deep-dive-mctmilk` 进一步深挖

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.