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 client-lettergit 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/client-letter)<a href="https://agentmods.dev/skills/zhou210712/claude-for-legal-zh/client-letter"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/client-letter/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/client-letter"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/client-letter.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 | $0.00078 | $0.02114 |
| Opus 5 | $0.00039 | $0.01057 |
| Sonnet 5 | $0.00016 | $0.00423 |
| Haiku 4.5 | $0.00008 | $0.00211 |
Grade A, and why
client-letter 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.
This is a copy
84% identical to client-intake — 258 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/client-letter
- 加载
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md→ 通俗语言标准、指导风格、诊所联系信息。 - 使用以下模板和工作流。
- 匹配类型到模板。通俗语言检查。
- 输出附 AI 辅助标签、指导路由。
范围:仅常规信函。实质性建议 → /status client 或与指导老师的对话。
/legal-clinic:client-letter 预约
/legal-clinic:client-letter 文件索取
当事人信函:常规信函
目的
诊所需发送大量常规信函:"您的预约是周二下午2点""请携带您的租赁合同""我们已为您提交了答辩状"。本技能从模板处理这些,让学生不必每周重复输入相同内容。
范围:仅常规信函。 实质性建议、坏消息、案件策略——这些是 /status client 或一次对话,而非模板信函。
加载上下文
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → 通俗语言标准、指导风格、诊所联系信息。
教学检查
读取该实践领域的指导老师指南,路径为 ~/.claude/plugins/config/claude-for-legal/legal-clinic/guides/<实践领域>.md。检查 pedagogy_posture 设置:
guide(默认): 产出结构和核查清单(必要元素、通俗语言目标、依学生实践规则签字)。要求学生自行起草每节。对其草稿给予反馈(语域、阅读水平、必要元素、遗漏之处)。仅当学生已尝试一次后,才为某节提供填充。assist: 产出信函。标注事项供学生审查。学生通过审查编辑来学习。teach: 不产出信函。要求学生自行起草。给予反馈。当学生困惑时提出引导性问题。仅在两次尝试后才展示示范段落,且仅针对其困惑的那一节。追踪学生的正确与错误之处,以便指导老师看到进步。
如无指南,使用 guide。如有指南但未设定姿态,使用 guide。
无论何种姿态,输出始终包含:"教学模式:[assist/guide/teach]——由指导老师的指南设定。这意味着我[学生做了什么 vs 技能做了什么]。"
签字与学生律师披露
查阅你所在法域的学生实践规则,确认由法学学生签署的信函中要求的披露语言。部分法域要求特定表述;多数要求学生明确自己是法学学生/认证法律实习生并指明指导律师。以下模板使用通用表述——发送前按你的规则调整签字。
信函类型
审查标签位于信函外部。
[AI辅助草稿 —— 需按插件配置指导步骤审查]标签是给学生的提示,非信函正文。将其置于渲染模板上方(或学生发送前删除的页眉中),绝不放在信函内容内。如果它出现在当事人可见的版本中,则技能已失败。
预约确认
供学生的审查标签(非给当事人——发送前剥离):
[AI辅助草稿 —— 需按插件配置指导步骤审查]
[当事人姓名]:
本函确认您与[诊所名称]的预约:
**日期:** [日期]
**时间:** [时间]
**地点:** [地址 / 房间号 / 或"电话:[号码]"]
**接待人:** [学生姓名]
**请携带:** [所需文件——来自案件笔记或留作提示供学生填写]
如需改期,请至少在24小时前致电[诊所电话]。
[学生姓名]
法学学生,认证法律实习生
在[指导律师姓名]指导下
[诊所名称] | [电话] | [工作时间]
文件索取
供学生的审查标签(非给当事人——发送前剥离):
[AI辅助草稿 —— 需按插件配置指导步骤审查]
[当事人姓名]:
为推进您的案件,我们需要您提供以下文件:
- [文件1 — 例如"您的租赁合同"]
- [文件2 — 例如"您收到的来自出租人的通知"]
- [文件3]
**提交方式:** [送至诊所 / 发送邮件至[地址] / 下次预约时携带]
**请于** [日期] **前提交** — [如有截止日期,说明原因:"我们需要您在[日期]前提交这些文件,以便我们在法院答辩期限前为您提交答辩状。"]
如果您没有其中某些文件或不明白我们的要求,请致电[诊所电话],我们可以提供帮助。
[学生姓名]
法学学生,认证法律实习生
在[指导律师姓名]指导下
[诊所名称] | [电话] | [工作时间]
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 · 159 lines · 78 tokens per session scan A 00ac8f70750d
client-letter 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 78 tokens to every session and 2,114 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to client-intake, differing in 258 lines, and is treated as a copy.
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