MctMilk

要件事实证据对应

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

According to AlphaMoat, as of 2026-09, 要件事实证据对应 has 1,181 downloads and 1 stars — ranked #4,945 of 5,078 AI skills overall, and #451 of 465 in Professional.

Installs
114
Downloads
1.2K
Stars
1
Overall Rank
#4,945
Top 98% overall · Top 97% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗221.1K1-
SkillHub ↗1141.2K1—

Platforms count differently and update at different times.

What this skill does

For each element of a specified provision, organize the facts to establish, the party bearing the burden, possible evidence, rebuttal points, and ways to strengthen weak evidence in a six-column summary. Applicable law varies by jurisdiction and procedural posture; confirm both before use and have a qualified legal professional review the analysis.

Profile published 2026-10-29

What you can do with it

  • Turn legal elements into a checklist of facts to prove
  • List evidence types, the party bearing the burden, and likely rebuttals
  • Identify weak evidence and possible ways to strengthen it

When to use it

  • When preparing a case evidence checklist or pre-hearing review
  • When breaking legal elements into fact-and-evidence relationships

Example prompts

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

For the provision and jurisdiction I provide, list each legal element and the facts to prove; mark uncertain legal grounds for verification.
Create a six-column table of element, fact to prove, party with the burden, preferred evidence, possible rebuttal, and reinforcement strategy, and flag items for lawyer review.

Monthly Trend

Downloads1.2K
1346971.3K2026-03 · Downloads 2122026-05 · Downloads 5562026-06 · Downloads 6402026-07 · Downloads 8342026-08 · Downloads 1.0K2026-09 · Downloads 1.2K26-0326-09
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
2026-091.2K—1
2026-081.0K+20.0%1
2026-07834+30.3%1
2026-06640+15.1%1
2026-05556—1
2026-03212—-

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.

2.2 KB · ClawHub v1.0.0
---
name: legal-evidence-mapping-mctmilk
description: 将法条构成要件对应当事人需要证明的事实、举证责任分配和可用证据类型,生成完整的证据作战地图。这是律师实务中最核心的技能。当用户想"把法条翻译成证据清单"时使用。
---

# 要件事实证据对应 (Legal Evidence Mapping)

## 触发场景

- 用户说"这个案子需要什么证据"、"举证责任怎么分配"
Show all (57 lines)
- 用户想知道每个要件需要什么证据支持
- 用户在准备开庭前想有一张完整的证据作战地图

## 核心提示词

```
我正在处理一个涉及【法条编号】的案件。

请帮我完成"要件—事实—证据"的三层对应分析:

针对该法条的每一个构成要件:
1. 【要件名称】
   - 需要证明的具体事实是什么?
   - 举证责任由哪方承担?(依据是什么?)
   - 可以提交哪些类型的证据来证明?(列出至少3种)
   - 对方可能的反驳方向是什么?
   - 如果该要件证据薄弱,有什么补强策略?

请逐一分析每个要件,最后用表格汇总:
| 要件 | 待证事实 | 举证方 | 优选证据 | 对方反驳点 | 补强方案 |
```

## 输出要求

1. **要件-事实-证据三层对应表**:每个要件一行,清晰对应
2. **举证责任说明**:明确哪方举证及法律依据
3. **补强策略**:针对证据薄弱环节的建议
4. **汇总表格**:最终生成六列完整表格

## 示例

输入:`《民法典》第1165条 过错责任`,案件:交通事故人身损害赔偿

输出应包含:
| 要件 | 待证事实 | 举证方 | 优选证据 | 对方反驳点 | 补强方案 |
|------|---------|--------|---------|-----------|---------|
| 侵权行为 | 被告驾驶行为 | 原告 | 交通事故认定书 | ... | ... |
| 损害后果 | 原告受伤及损失 | 原告 | 医疗票据、鉴定报告 | ... | ... |
| 因果关系 | 行为与损害的因果 | 原告 | 鉴定意见 | ... | ... |
| 过错 | 被告的过错程度 | 原告 | 事故认定书、监控 | ... | ... |

## 注意事项

- 这是最核心的实务技能,必须完整输出六列表格
- 补强策略要具体,不要只说"补充证据"
- 开庭前让用户对照此表检查证据是否齐全

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