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 memogit 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/memo)<a href="https://agentmods.dev/skills/zhou210712/claude-for-legal-zh/memo"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/memo/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/memo"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/memo.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 | $0.00088 | $0.02649 |
| Opus 5 | $0.00044 | $0.01324 |
| Sonnet 5 | $0.00018 | $0.00530 |
| Haiku 4.5 | $0.00009 | $0.00265 |
Grade A, and why
memo 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/memo
- 加载
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md→ 实践领域、管辖地。 - 使用以下工作流。阅读接待摘要/案件笔记。
- 将问题框定为疑问句。为每个问题搭建 IRAC 框架——规则部分是"待检索"，应用部分是"学生分析"提示，结论部分留空。
- 有利因素/不利因素/待解决问题。检索缺口摘要。
- 输出前置明显的"分析由你完成"标签。
/legal-clinic:memo
备忘录：内部案件分析
目的
案件分析备忘录是学生思考的载体。本技能提供 IRAC 框架并标注检索缺口——学生填入分析内容。
分析是学生的工作。 本技能搭建结构；不做结论。
加载上下文
~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → 实践领域、管辖地、指导风格。
接待摘要和案件笔记用于获取事实。
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 IRAC 结构和检索缺口清单。要求学生自行从检索中撰写每段规则陈述，而非直接给出框架。对学生所写内容给予反馈。仅当学生已尝试一次后，才为某节提供填充框架规则。assist： 产出备忘录框架并填充可填充内容。标注事项供学生审查。学生通过审查编辑来学习。（注意：本备忘录技能始终将[学生分析]和[学生结论]块留空——assist指技能产出 IRAC 框架和框架规则陈述；不产出应用或结论。）teach： 不产出框架或框架内容。要求学生自行框定问题、基于检索陈述规则、完成应用。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规则陈述或示范应用段落，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]。"
工作流
第1步：框定问题
从接待摘要和案件笔记中：本案提出的法律问题是什么？
将每个问题表述为疑问句。不是"居住条件"——而是"当事人能否以暖气损坏为由对驱逐提出居住条件抗辩？如果可以，该抗辩能否抵扣所欠租金？"
如有多个问题，每个问题单独设一个 IRAC 块。
第2步：搭建 IRAC 框架
针对每个问题：
问题（Issue）： 表述为疑问句（来自第1步）。
规则（Rule）： 这是检索缺口，不是结论。说明学生需要找到什么：
[待检索：[省份]居住条件抗辩的裁判规则——可居住性默示担保的要件、 哪些条件构成、可用的救济措施包括租金抵扣。 检索起点：《民法典》合同编租赁合同相关条款，然后检索关于暖气/供暖 条件的具体案例。参见 /research-start 获取路线图。]
如果技能对一般规则框架有较高信心（如"多数法域承认出租人负有可居住性默示担保义务"），将其表述为框架起手点——但明确标注为未经核实：
框架（未经核实——确认在[省份]的适用性）： 多数法域承认出租人负有 维持适宜居住条件的默示担保义务。违反该义务可能产生租金暂扣权、 自行维修并抵扣权或租金减免权。
[待核实：[省份]的具体要件和救济措施]
应用（Application）： 这是学生分析的所在。搭建结构，不填充内容：
`[学生分析：将规则应用于事实。需处理的关键事实：
- 暖气自11月起损坏——多长时间算"不合理"？
- 当事人于[何时？以何种方式？有无记录？]通知出租人
- 出租人的回应或未回应
- [省份]具体规则：当事人是否需要书面通知？ 是否需要将租金提存？有无其他程序性先决条件？]`
列出相关事实。让学生完成应用。
结论（Conclusion）： 明确留空：
[学生结论：基于你的上述检索和分析，可能的结果是什么？该抗辩的强度如何？弱点是什么？]
第3步：识别有利因素、不利因素、待解决问题
独立一节，置于 IRAC 块之后：
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 · 204 lines · 88 tokens per session scan A f6d0c027d9df
memo 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 88 tokens to every session and 2,649 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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