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 investigation-querygit 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/investigation-query)<a href="https://agentmods.dev/skills/zhou210712/claude-for-legal-zh/investigation-query"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/investigation-query/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/investigation-query"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/investigation-query.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 | $0.00067 | $0.00483 |
| Opus 5.5 | $0.00027 | $0.00193 |
| Sonnet 5.5 | $0.00013 | $0.00097 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
investigation-query 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 1mo 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.
What it actually says
/investigation-query
针对调查日志回答问题——证人说了什么、哪些地方陈述互相矛盾、存在哪些证据缺口、每个问题上最有证明力的证据是什么。
指令
- 加载调查日志并运行查询模式。
- 回答中始终引用日志条目编号。
- 如果日志中没有与问题相关的内容，明确说明——"在本次调查日志中（已审查[N]条记录），我未看到关于[主题]的任何信息"——并提供将其标记为缺口。
常见查询类型
| 查询类型 | 示例 |
|---|---|
| 证人陈述 | "被投诉人关于12月的事件说了什么？" |
| 矛盾点 | "投诉人和被投诉人的陈述在哪些地方互相矛盾？" |
| 证据缺口 | "我们还缺什么证据？" |
| 最有证明力的证据 | "关于[事项]，目前最有证明力的证据是什么？" |
| 时间线核对 | "各证人对[日期]的描述是否一致？" |
保密要求
查询和分析内容受《律师法》第38条保密义务保护。[法条原文] 查询结果属于内部调查工作成果，标注"保密"。
示例
/employment-legal:investigation-query [调查事项名称]
被投诉人关于12月部门聚餐说了什么？
/employment-legal:investigation-query [调查事项名称]
投诉人和被投诉人的陈述在哪些地方互相矛盾？
/employment-legal:investigation-query [调查事项名称]
我们还缺什么？
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.
- 1mo ago First seen · 50 lines · 67 tokens per session scan A 72cd795b0a4d
investigation-query is a skill published in the GitHub repository zhou210712/claude-for-legal-ZH (238 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 483 once invoked, about $0.0003 per session on Opus 5.5. 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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