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 ai-tool-handoffgit 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/ai-tool-handoff)<a href="https://agentmods.dev/skills/zhou210712/claude-for-legal-zh/ai-tool-handoff"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/ai-tool-handoff/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/ai-tool-handoff"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/ai-tool-handoff.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 | $0.00111 | $0.01923 |
| Opus 5 | $0.00056 | $0.00962 |
| Sonnet 5 | $0.00022 | $0.00385 |
| Haiku 4.5 | $0.00011 | $0.00192 |
Grade A, and why
ai-tool-handoff 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 13d 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- diligence-issue-extraction — 92% identical, 207 lines differ
- written-consent — 89% identical, 324 lines differ
- board-minutes — 89% identical, 268 lines differ
- deal-team-summary — 88% identical, 144 lines differ
- entity-compliance — 81% identical, 431 lines differ
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 工具交接
事项上下文
事项上下文。 检查实务级 CLAUDE.md 中的 ## 事项工作区。如果 Enabled 为 ✗(企业法务用户的默认值),跳过本段其余内容——技能使用实务级上下文,事项机制不可见。如果已启用且无活跃事项,询问:"这是哪个事项?运行 /corporate-legal:matter-workspace switch <事项简称> 或说 实务级。"加载活跃事项的 matter.md 获取事项特定上下文和覆盖规则。输出写入事项文件夹 ~/.claude/plugins/config/claude-for-legal/corporate-legal/matters/<事项简称>/。除非 跨事项上下文 为 开,否则绝不读取其他事项的文件。
目的
AI 辅助审查工具擅长一件事:读取500份合同并找到每一条控制权变更条款。它们不擅长判断——决定某条特定的控制权变更条款是否真的被本次交易结构触发。
本技能将批量提取交接给合适的工具,然后对返回的结果运行 QA 层。
交接之前: 先尝试 tabular-review(/corporate-legal:tabular-review)。对于用户环境可以处理的任何内容——几百份文档、已定义的列模式——原生表格审查设置更快、无按文档计费成本,且将工作成果保留在本地。当语料确实过于庞大、团队已有许可证和工作流,或事项要求具有已验证溯源链的工具时,再交接给 AI 工具。
加载上下文
~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md → AI辅助审查:
- 使用的工具(Luminance / Kira / 无)
- 用于什么(哪些条款类型)
- 信任层级(直接使用 / 抽查 / 全面复核)
- 交接流程(谁加载,谁QA)
如果 ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md 显示无AI工具 → 本技能为无操作。所有内容直接通过 diligence-issue-extraction 处理。
何时交接
以下全部满足时交接:
- 类别有超过50份文档(少于50份时直接阅读更快)
- 提取目标是工具擅长的条款类型(控制权变更、合同转让、独家性、最惠国待遇、终止、自动续约)
- 文档相对统一(全部是相似文本的客户合同——而非合同、函件和董事会纪要的混搭)
不要交接:
- 定制或经过大量谈判的文档
- 补充函和修订协议(上下文依赖性强,工具会遗漏与主协议的互动)
- 任何问题是"这对交易意味着什么"而非"该条款是否存在"的情况
交接
第1步:准备批次
- 从数据室目录中识别批次文档
- 按
~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md指定提取目标(哪些条款类型) - 注明重要性阈值以便过滤工具输出
第2步:加载(或指示加载者)
按 ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md ——由谁加载。如果是你,生成加载指令。如果是别人,生成请求:
## [工具] 加载请求 — [交易代码] — [类别]
**文档:** [N]份 来自数据室文件夹 [路径]
**加载至:** [工具工作区/事项]
**提取目标:**
- 控制权变更 / 合同转让
- 独家性
- [等——按 `~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md`]
**过滤输出:** 仅标记提取目标存在的情况——无需为每份文档报告"未发现控制权变更条款"。
**返回截止:** [日期]
第3步:QA 输出
当工具返回结果时,按信任层级应用:
"直接使用": 直接录入尽调发现。(仅在 ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md 如此设置时使用——这种情况很少见。)
"抽查 X%": 随机抽取 X% 的已标记文档。对每份,阅读实际条款并与工具的提取对比。如错误率低,接受该批次。如发现错误,扩大样本。
"对已标记项进行完整人工复核": 工具缩小范围(500份文档 → 80份含控制权变更条款)。人工阅读全部80份。工具节省了阅读420份干净文档的时间。
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.
- 13d ago First seen · 133 lines · 111 tokens per session scan A edd989340739
ai-tool-handoff 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 111 tokens to every session and 1,923 once invoked, about $0.0006 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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