Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LawMotion-AI/Vibe-Lawyering --skill legal-due-diligencegit clone --depth 1 https://github.com/LawMotion-AI/Vibe-LawyeringWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lawmotion-ai/vibe-lawyering/legal-due-diligence)<a href="https://agentmods.dev/skills/lawmotion-ai/vibe-lawyering/legal-due-diligence"><img src="https://agentmods.dev/badge/skills/lawmotion-ai/vibe-lawyering/legal-due-diligence/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lawmotion-ai/vibe-lawyering/legal-due-diligence"><img src="https://agentmods.dev/badge/skills/lawmotion-ai/vibe-lawyering/legal-due-diligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00162 | $0.01827 |
| Opus 5 | $0.00081 | $0.00914 |
| Sonnet 5 | $0.00032 | $0.00365 |
| Haiku 4.5 | $0.00016 | $0.00183 |
Grade A, and why
legal-due-diligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
法律尽职调查 Skill v1.0
目标
为中国律师提供系统化的法律尽职调查底稿编写与报告生成工具。
核心价值：
- 调查全面：10大标准板块、200+检查项，不遗漏重要事项
- 用语规范：标准法律用语，表述专业严谨
- 两阶段输出：底稿（律师内部记录）→ 报告（客户交付文件）
- 风险识别：三级风险评估，系统识别法律风险
工作流程
init 初始化 → draft 写底稿 → check 检查 → report 生成报告
（创建项目） （逐章撰写） （完整性） （底稿→报告）
↺ 循环
四种工作模式
模式 1：init（项目初始化）
触发词：初始化尽调项目、新建尽调、init DD
操作步骤：
- 运行
scripts/init_project.py，在指定路径创建项目目录 - 生成项目信息文件
project-info.md - 为10个章节各生成底稿模板文件
必须获取的输入：
project_path：项目存放路径target_company：目标公司全称client_name：委托人名称
可选输入（有默认值）：
base_date：调查基准日（默认当日）purpose：调查目的（如"股权收购"、"投资入股"）law_firm：律师事务所名称lawyers：经办律师姓名（可多个）
输出：项目目录结构如下：
[项目名称]-DD/
├── project-info.md # 项目基本信息与进度跟踪
├── working-paper.md # 完整底稿（10章合一，单一文件）
└── report/
└── （报告生成后存放于此）
模式 2：draft（撰写底稿）
触发词：写底稿、撰写第X章、draft、分析材料并写入底稿
操作步骤：
- 读取 references/section-guide.md 中对应章节的调查指南
- 阅读用户提供的调查材料（支持文件路径或粘贴文本）
- 按底稿六段结构撰写该章节内容
- 写入项目根目录的
working-paper.md（单一底稿文件，定位至对应章节更新）
必须获取的输入：
chapter：章节编号（1–10）或章节名称materials：调查材料（文件路径列表 或 粘贴的文本内容）
可选输入：
project_path：项目路径（若上下文中已有则无需重复提供）append：是否追加模式（默认覆写）
底稿六段结构（每章必须包含）：
## [编号]. [章节名称]
### [X].1 调查范围与方法
调查范围：[本章调查覆盖的事项]
调查方法：
- [ ] [方法1]
- [ ] [方法2]
### [X].2 已获取材料清单
| 序号 | 材料名称 | 形式 | 日期/期间 | 备注 |
|------|----------|------|-----------|------|
### [X].3 未获取/待补充材料
| 序号 | 材料名称 | 重要程度 | 状态 | 影响说明 |
|------|----------|----------|------|----------|
### [X].4 调查发现
[纯事实记录，引用具体文件，不含意见判断]
### [X].5 风险提示
| 序号 | 风险事项 | 等级 | 事实依据 | 法律依据 | 处理建议 |
|------|----------|------|----------|----------|----------|
### [X].6 律师备忘
[内部工作记录，不进报告]
风险等级标准：
- 🔴 高：直接影响交易可行性或重大法律后果
- 🟡 中：需关注，可能影响交易条款或需要整改
- 🟢 低：轻微瑕疵，一般不影响交易，建议关注
模式 3：check（检查底稿）
触发词：检查底稿、完整性检查、check、汇总风险
操作步骤：
- 读取
working-paper.md全文 - 逐章检查六段结构完整性
- 汇总所有风险提示（按等级分类）
- 统计未获取材料
- 输出检查报告到对话（不修改底稿）
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 189 lines · 162 tokens per session scan A c17ee1cce0e7
legal-due-diligence is a skill published in the GitHub repository LawMotion-AI/Vibe-Lawyering (20 stars, last pushed 4mo ago), licensed MIT. It adds 162 tokens to every session and 1,827 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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