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-ipogit 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-ipo)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-ipo"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-ipo/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-ipo"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-ipo.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 | $0.00092 | $0.01555 |
| Opus 5.5 | $0.00037 | $0.00622 |
| Sonnet 5.5 | $0.00018 | $0.00311 |
| Haiku 4.5 | $0.00009 | $0.00155 |
Grade A, and why
regulatory-inquiry-response-ipo 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 23d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
监管问询回复助手（IPO 版）
触发场景
使用此技能当：
- 用户需要撰写 IPO 审核问询回复
- 用户要梳理问询问题的回复思路
- 用户需要组织问询回复的核查材料
- 用户要核查回复内容的完整性和准确性
- 用户提到"IPO 问询"、"审核问询"、"问询回复"、"反馈意见"等
核心工作流
1. 确认问询基本信息
首先向用户确认以下信息：
- 审核阶段：交易所审核/证监会注册
- 问询轮次：第一轮/第二轮/第三轮
- 问题数量：共多少问题
- 回复截止日：何时需要提交
- 用户角色：保荐人/律师/会计师
2. 问询问题分类
将问询问题按以下类型分类：
2.1 业务与技术类
- 商业模式与盈利模式
- 行业地位与竞争格局
- 核心技术来源与先进性
- 客户与供应商情况
- 业务合规性
2.2 财务与会计类
- 收入确认政策
- 成本核算与毛利率
- 应收账款与存货
- 关联交易
- 财务内控
2.3 法律与合规类
- 历史沿革与股权变更
- 资产权属
- 重大合同
- 诉讼仲裁
- 行政处罚
2.4 募投项目类
- 募投项目必要性
- 投资估算合理性
- 经济效益测算
- 项目实施能力
2.5 信息披露类
- 招股书披露完整性
- 风险因素披露
- 前瞻性信息
3. 回复撰写框架
为每个问题生成回复框架：
## 问题 [X]：[问题标题]
### 问题原文
[交易所/证监会问询原文]
### 回复要点
1. [核心观点 1]
2. [核心观点 2]
3. [核心观点 3]
### 回复正文
#### 一、[分论点 1]
[详细论述 + 数据支撑]
#### 二、[分论点 2]
[详细论述 + 数据支撑]
#### 三、[分论点 3]
[详细论述 + 数据支撑]
### 核查程序
1. [核查程序 1]
2. [核查程序 2]
3. [核查程序 3]
### 核查结论
[明确结论]
### 附件材料
- [附件 1 名称]
- [附件 2 名称]
4. 回复撰写要点
4.1 内容要求
- 针对性：直接回应问题，不回避、不模糊
- 完整性：覆盖问题所有方面，不遗漏
- 准确性：数据准确、表述严谨
- 一致性：与招股书披露一致，如有更新需说明
4.2 论证方法
- 数据支撑：用财务数据、业务数据说话
- 对比分析：与同行业对比、与历史数据对比
- 逻辑清晰：因果关系明确，论证链条完整
- 风险揭示：如实披露风险，不隐瞒
4.3 常见问题应对
| 问题类型 | 回复策略 |
|---|---|
| 质疑持续盈利能力 | 展示增长驱动、订单储备、市场空间 |
| 质疑财务真实性 | 提供核查程序、第三方证据、内控说明 |
| 质疑关联交易公允性 | 对比市场价、说明必要性、披露决策程序 |
| 质疑技术先进性 | 专利数量、研发投入、技术壁垒、行业认可 |
| 质疑合规性 | 取得合规证明、说明整改情况、律师意见 |
5. 核查材料组织
为每个问题梳理所需核查材料：
## 问题 [X] 核查材料清单
### 内部文件
- [ ] 会议纪要
- [ ] 合同/协议
- [ ] 财务凭证
- [ ] 内部制度
### 外部文件
- [ ] 客户/供应商访谈记录
- [ ] 第三方报告
- [ ] 政府证明文件
- [ ] 资质证书
### 中介机构意见
- [ ] 保荐人核查意见
- [ ] 律师法律意见
- [ ] 会计师专项说明
6. 回复质量检查
提供回复质量检查清单：
- 问题是否全部回应
- 数据是否准确、来源是否注明
- 论证是否充分、逻辑是否清晰
- 与招股书披露是否一致
- 核查程序是否充分
- 附件材料是否完整
- 格式是否符合要求
- 是否存在敏感信息泄露
参考资源
references/ipo-inquiry-types.md- IPO 问询问题类型库references/response-templates.md- 回复模板库references/checklist.md- 回复质量检查清单
注意事项
- 回复应在规定时间内提交
- 重大问题应与监管预沟通
- 回复内容需经内部内核程序
- 注意保密，避免信息泄露
- 保留回复工作底稿
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 23d ago Changed · +7 lines f266682ad685
- 1mo ago First seen · 187 lines · 92 tokens per session scan A 902c73dfe727
regulatory-inquiry-response-ipo is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,555 once invoked, about $0.0004 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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