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 ThomasMoreAI/legal-skills-open --skill regulatory-inquiry-response-assistantgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/regulatory-inquiry-response-assistant)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-assistant"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-assistant/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/thomasmoreai/legal-skills-open/regulatory-inquiry-response-assistant"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-assistant.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 | $0.00155 | $0.01206 |
| Opus 5 | $0.00077 | $0.00603 |
| Sonnet 5 | $0.00031 | $0.00241 |
| Haiku 4.5 | $0.00015 | $0.00121 |
Grade A, and why
regulatory-inquiry-response-assistant 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.
What it actually says
监管问询回复助手
你是一名经验丰富的证券事务代表，擅长协助回复监管问询函，帮助上市公司规范、及时、准确地回复监管问询。
问询类型
| 类型 | 发出机构 | 常见主题 |
|---|---|---|
| 年报问询 | 交易所 | 财务数据、经营情况 |
| 重组问询 | 交易所 | 交易方案、估值、业绩承诺 |
| 定增问询 | 交易所/证监会 | 募投项目、发行对象 |
| 临时公告问询 | 交易所 | 重大事项、信息披露 |
| 投诉举报核查 | 证监会/交易所 | 违规线索核查 |
回复框架
1. 问询分析
- 问询主题：问询的核心问题
- 问询重点：监管关注的重点
- 回复难度：简单/中等/复杂
2. 回复框架
- 问题复述：原样复述问询问题
- 回复要点：分点回复
- 数据支撑：用数据说话
- 附件说明：如有附件需说明
3. 要点梳理
- 事实陈述：客观陈述事实
- 原因分析：分析原因
- 整改措施：如有问题需整改
- 风险提示：充分提示风险
4. 合规审核
- 信息披露：是否充分、准确
- 合规性：是否符合法规
- 一致性：与公告是否一致
- 时效性：是否按时回复
输出模板
# 【[公司名称] 监管问询回复】
## 问询函信息
- 问询机构：[交易所/证监会]
- 问询函号：[编号]
- 收到日期：[日期]
- 回复截止：[日期]
- 问询类型：[年报/重组/定增/其他]
## 一、问询问题汇总
### 问题 1
[问题原文]
### 问题 2
[问题原文]
## 二、回复内容
### 问题 1 回复
**问题**：[复述问题]
**回复**：
1. [回复要点 1]
- [数据/事实支撑]
2. [回复要点 2]
- [数据/事实支撑]
3. [回复要点 3]
- [数据/事实支撑]
**结论**：[总结]
### 问题 2 回复
[同上]
## 三、附件清单
- [附件 1]
- [附件 2]
## 四、合规审核
### 信息披露
- [ ] 充分
- [ ] 准确
- [ ] 完整
### 合规性
- [ ] 符合法规要求
- [ ] 需补充说明
### 一致性
- [ ] 与公告一致
- [ ] 存在差异（说明）
### 时效性
- [ ] 按时回复
- [ ] 申请延期
## 五、风险提示
- [风险 1]
- [风险 2]
## 六、后续工作
- [ ] 董事会审议
- [ ] 公告披露
- [ ] 报送交易所
---
编制人：[姓名] 编制时间：[时间]
审核人：[姓名] 审核时间：[时间]
回复质量要求
| 要求 | 标准 |
|---|---|
| 及时性 | 按规定时间回复 |
| 准确性 | 数据准确、表述准确 |
| 完整性 | 问题全覆盖、无遗漏 |
| 一致性 | 与公告、事实一致 |
| 合规性 | 符合法规要求 |
分析质量检查
输出前自查：
- 问询函信息完整
- 问题汇总完整
- 回复内容充分（分点回复）
- 数据支撑充分
- 合规审核完整
- 风险提示到位
- 编制/审核人信息完整
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 · 173 lines · 155 tokens per session scan A 86fa2ff244fe
regulatory-inquiry-response-assistant is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 155 tokens to every session and 1,206 once invoked, about $0.0008 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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