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-bondgit 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-bond)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-bond"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-bond/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-bond"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-bond.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 | $0.00093 | $0.01689 |
| Opus 5.5 | $0.00037 | $0.00676 |
| Sonnet 5.5 | $0.00019 | $0.00338 |
| Haiku 4.5 | $0.00009 | $0.00169 |
Grade A, and why
regulatory-inquiry-response-bond 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 — 211 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（债券版）
触发场景
使用此技能当：
- 用户需要撰写债券审核问询回复
- 用户要梳理公司债/企业债问询问题的回复思路
- 用户需要组织债券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"债券问询"、"公司债问询"、"反馈回复"、"审核问询"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：
- 债券品种：公司债/企业债/其他
- 审核机构：交易所/交易商协会/发改委
- 问询轮次：第一轮/第二轮
- 问题数量：共多少问题
- 回复截止日：何时需要提交
2. 债券问询问题分类
将问询问题按以下类型分类：
2.1 发行人资质
- 是否符合发行条件
- 主体资质与信用状况
- 历史债券发行与兑付记录
- 是否存在禁止发行情形
2.2 财务状况（核心）
- 资产负债结构与杠杆水平
- 盈利能力与稳定性
- 现金流状况
- 偿债指标分析
- 有息债务结构与到期分布
- 对外担保情况
2.3 经营与业务
- 主营业务与商业模式
- 行业地位与竞争格局
- 经营稳定性与可持续性
- 重大不利变化
2.4 募投项目（如有）
- 项目合规性
- 投资估算与资金需求
- 经济效益测算
- 项目实施风险
2.5 增信措施（如有）
- 担保人资质与代偿能力
- 抵质押资产权属与价值
- 增信措施有效性
2.6 偿债保障
- 偿债资金来源
- 偿债计划安排
- 应急偿债措施
- 投资者保护条款
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
[审核机构问询原文]
### 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]
### 核查程序
1. [核查程序 1]
2. [核查程序 2]
### 核查结论
[明确结论]
### 附件材料
- [附件 1 名称]
- [附件 2 名称]
4. 债券回复特殊要点
4.1 偿债能力论证（核心）
- 短期偿债能力：流动比率、速动比率、货币资金覆盖
- 长期偿债能力：资产负债率、利息保障倍数
- 现金流覆盖：经营现金流对债务的覆盖
- 融资能力：银行授信、再融资空间
4.2 信用风险揭示
- 如实披露信用风险因素
- 说明风险缓释措施
- 不回避敏感问题
- 与评级报告保持一致
4.3 财务数据核查
- 财务数据真实性核查
- 异常指标解释
- 与同行业对比
- 与历史数据对比
4.4 特殊发行人类型
城投类发行人：
- 政府支持情况说明
- 隐性债务排查
- 区域财政状况
- 平台定位与转型
房地产发行人：
- 土储情况与去化
- "三道红线"指标
- 融资渠道与成本
- 销售回款情况
5. 常见问题回复策略
| 问题类型 | 回复策略 |
|---|---|
| 资产负债率偏高 | 说明行业特点、展示现金流覆盖、融资空间 |
| 盈利能力下滑 | 分析原因、展示改善措施、行业对比 |
| 短期债务集中到期 | 展示偿债安排、授信储备、再融资计划 |
| 对外担保较多 | 披露被担保方资质、反担保措施、代偿风险 |
| 募集资金用途不明 | 细化资金使用计划、说明必要性、披露管理制度 |
6. 核查材料组织
## 问题 [X] 核查材料清单
### 财务核查
- [ ] 审计报告
- [ ] 财务报表明细
- [ ] 银行流水
- [ ] 征信报告
### 业务核查
- [ ] 主要合同
- [ ] 客户/供应商访谈
- [ ] 行业数据
### 合规核查
- [ ] 征信查询
- [ ] 诉讼查询
- [ ] 行政处罚查询
- [ ] 合规证明
7. 回复质量检查
- 偿债能力论证充分
- 财务数据真实准确
- 风险揭示充分
- 与募集说明书一致
- 核查程序充分
- 附件材料完整
- 符合监管规则要求
参考资源
references/bond-inquiry-types.md- 债券问询问题类型库references/response-templates-bond.md- 债券回复模板references/bond-rules.md- 债券发行规则汇编references/credit-analysis.md- 信用分析方法
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 9be1503a757b
- 1mo ago First seen · 204 lines · 93 tokens per session scan A 77a694a16f8c
regulatory-inquiry-response-bond is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 93 tokens to every session and 1,689 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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