regulatory-inquiry-response-bond

regulatory-inquiry-response-bond is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 93 tokens per session (1,637 once invoked), scanned A, original, Apache-2.0.

A Chinese-language writing assistant for responding to regulatory questions about bonds, which are debt investments issued by organisations.

In plain words
What is it for?
It helps classify questions, structure response drafts, and cover issuer qualifications, finances, operations, fundraising projects, credit support, and repayment plans.
Why use it?
It helps teams organise evidence and prepare complete replies when regulators or exchanges question a bond issue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps classify questions, structure response drafts, and cover issuer qualifications, finances, operations, fundraising projects, credit support, and repayment plans.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-bond
Install

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.

Any agent
npx skills add ThomasMoreAI/legal-skills-open --skill regulatory-inquiry-response-bond
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for regulatory-inquiry-response-bond

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-bond/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/regulatory-inquiry-response-bond)
Your own site
<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>

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Your own site · 80×15
<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>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,637 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.01637
Opus 5 $0.00046 $0.00818
Sonnet 5 $0.00019 $0.00327
Haiku 4.5 $0.00009 $0.00164

Measured 12d ago against content hash 77a694a16f8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d 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.

cn/capital-markets/skills/regulatory-inquiry-response-bond/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 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

Read the full file on GitHub · 204 lines

Changes

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.

  1. 12d ago First seen · 204 lines · 93 tokens per session scan A 77a694a16f8c

Subscribe to this mod's changes

regulatory-inquiry-response-bond is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 93 tokens to every session and 1,637 once invoked, about $0.0005 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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