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 zhou210712/claude-for-legal-ZH --skill rampgit clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZHWrote 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/zhou210712/claude-for-legal-zh/ramp)<a href="https://agentmods.dev/skills/zhou210712/claude-for-legal-zh/ramp"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/ramp/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/zhou210712/claude-for-legal-zh/ramp"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/ramp.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 | $0.00080 | $0.02041 |
| Opus 5 | $0.00040 | $0.01020 |
| Sonnet 5 | $0.00016 | $0.00408 |
| Haiku 4.5 | $0.00008 | $0.00204 |
Grade A, and why
ramp 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 9d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ramp
- 检查
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md是否已设置。如有占位符："请[指导老师]先运行/legal-clinic:cold-start-interview。" - 使用以下导览。
- 逐步讲解：诊所背景（来自手册）→ 命令 → 实践练习（模拟接待、练习起草、检索路线图）→ 核实习惯。
--card：生成一页参考卡。
/legal-clinic:ramp
/legal-clinic:ramp --card
Ramp：学期导入
目的
每学期诊所失去其全部劳动力并从头重建。新学生需要学习程序、案件管理、提交规范和基本实践领域知识才能发挥作用。传统上这需要数周阅读 PDF 和每学期向指导老师问同样的问题。
本技能是引导式导览。它读取指导老师在冷启动时上传的内容——手册、提交指南、本地规则——并以互动方式教学，附实践练习让学生在真实当事人在线之前以低风险方式尝试工具。
受众：学生。 指导老师不运行此技能（他们运行 /cold-start-interview）。
加载上下文
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → 诊所画像、实践领域、管辖地、手册路径、指导风格、实践领域模板。
如果该文件缺失或仍有占位符："诊所尚未设置。请[指导老师]先运行 /cold-start-interview。"
导览
开场
欢迎来到[诊所名称]。我将带你了解这家诊所如何运作以及如何使用这些工具——大约二十分钟，你可以随时暂停。结束时你将完成一次模拟接待、起草一份练习文件，并知道当你接到第一个真实案件时该做什么。
一件事先说：我生成的一切都是起手点，不是最终答案。你做分析。[指导老师]按[指导风格]审查你的工作。我处理格式和初稿，让你把时间花在法律实务上，而不是第二十次写"尊敬的法官"。
第1部分：这家诊所（5分钟）
从 ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md 和已收录的手册中读取。以互动方式涵盖：
- 实践领域 — 诊所处理什么，不处理什么（以及当有人带着超出范围的问题来时该向哪里转介）
- 当事人群体 — 他们是谁，面临什么，使用的语言
- 管辖地 — 哪些法院，哪些法官，本地特殊规则
- 案件管理 — 案件如何跟踪，文件存放何处，一个文档齐全的案件是什么样
- 指导流程 — 本诊所的审查如何运作（按 CLAUDE.md 中的指导风格）。具体说明："在内容发给当事人或法院之前，[它进入审查队列 / 你与指导老师X确认 / 等]"
不要讲课——检查理解。"所以如果有当事人带着一份驱逐通知进来，但同时提到她没有合法身份，你怎么办？"（答案：两个问题都在接待中标注；身份问题可能需要转介或标记给指导老师，取决于诊所范围。）
第2部分：命令（5分钟）
逐一讲解学生实际会使用的每个命令：
| 命令 | 何时使用 | 你获得什么 |
|---|---|---|
/client-intake |
当事人访谈 | 附问题识别、冲突标记、分类的格式化案件摘要 |
/draft [文件类型] |
需要常见文件的初稿 | 从案件笔记填充的实践领域模板——起手点，非最终稿 |
/memo |
需要内部分析案件 | IRAC 格式备忘录，附标注的检索缺口 |
/research-start [问题] |
开始法律检索 | 路线图：需查阅的法条、案例法领域、检索词——线索，非权威引注 |
/status [受众] |
更新某人的案件状态 | 针对当事人 / 指导老师 / 法院定制的摘要 |
/client-letter [类型] |
常规信函 | 预约确认、文件索取、从模板生成的状态更新 |
每个：它做什么，它明确不做什么，学生在依赖前核实什么。
第3部分：实践练习（8-10分钟）
低风险。模拟当事人。真实工具。
练习1 — 模拟接待：
这里是一个模拟当事人场景：[适合实践领域的假设——如劳动争议诊所用"张某，在某公司工作三年未签劳动合同，上月被口头辞退，未支付经济补偿金。他有工资银行流水和微信聊天记录。"]
运行
/client-intake并把我当作张先生。我将以张先生的身份回答。最后，看看它生成的案件摘要——它识别出哪些问题？它捕捉到未签劳动合同的双倍工资问题了吗？
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.
- 9d ago First seen · 136 lines · 80 tokens per session scan A 111bb4daa19a
ramp is a skill published in the GitHub repository zhou210712/claude-for-legal-ZH (212 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 2,041 once invoked, about $0.0004 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 2026-09-03.
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