regulatory-reporting

regulatory-reporting is a skill for Claude Code from vivy-yi/finance-skills. It costs 104 tokens per session (1,505 once invoked), scanned A, original, MIT.

A regulatory-reporting process prepares financial reports required by government or supervisory bodies and submits them by their deadlines.

In plain words
What is it for?
Use it for monthly, quarterly or annual reports, including financial statements, accuracy checks, approval tracking, submission and confirmation records.
Why use it?
It reduces the risk of sending inaccurate, incomplete or late information by checking the source data and internal approvals first.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md.

Good fit Use it for monthly, quarterly or annual reports, including financial statements, accuracy checks, approval tracking, submission and confirmation records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/regulatory-reporting
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 vivy-yi/finance-skills --skill regulatory-reporting
Clone the repo
git clone --depth 1 https://github.com/vivy-yi/finance-skills

Made for: Claude Code.

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-reporting

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivy-yi/finance-skills/regulatory-reporting/github.svg)](https://agentmods.dev/skills/vivy-yi/finance-skills/regulatory-reporting)
Your own site
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/regulatory-reporting"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/regulatory-reporting/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.

agentmods 80×15 button for regulatory-reporting

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/regulatory-reporting"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/regulatory-reporting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,505 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 $0.00104 $0.01505
Opus 5 $0.00052 $0.00753
Sonnet 5 $0.00021 $0.00301
Haiku 4.5 $0.00010 $0.00151

Measured 11d ago against content hash cb60d343ca76, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

regulatory-reporting 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 11d 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.

finance-skills/skills/compliance-reporting/skills/regulatory-reporting/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

加载上下文

首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(报告类型/报送周期/审核流程)。


/regulatory-reporting — 监管报告编制与报送

Examples

→ 示例:用户说"银保监的监管报表这个月截止日期提前了 5 天,帮我调整一下时间表",系统应调用本技能,更新监管报告截止日期提醒。

→ 示例:用户说"有个监管指标计算口径变了,帮我重新计算一下历史数据",系统应调用本技能,执行新口径下的监管指标重述。

→ 示例:用户说"监管检查要来,需要提前准备哪些材料",系统应调用本技能,准备监管检查材料清单。

第一步:确认报告要求

根据报告类型确认报送要求:

□ 报告类型:[月度财务数据/季度报告/年度报告]
□ 报告期间:[YYYY年MM月/年度]
□ 报送对象:[国资委/统计局/财政厅等]
□ 报送截止:[YYYY-MM-DD]
□ 剩余天数:[X] 天

□ 报告内容清单:
□ 主要财务指标
□ 资产负债表
□ 利润表
□ 其他:[具体要求]

第二步:获取财务数据

从 [ERP] 获取报告数据:

□ 主要财务指标:
□ 营业收入:[XXX万]
□ 利润总额:[XXX万]
□ 净利润:[XXX万]
□ 资产总额:[XXX万]
□ 负债总额:[XXX万]
□ 所有者权益:[XXX万]

□ 数据获取完成:[✅ 是 / ⚠️ 否]

第三步:核查数据准确性

核查数据是否与 ERP 一致:

□ 数据核对:
□ 营业收入:ERP [XXX万] — 报告填列 [XXX万] — 一致 [✅/⚠️]
□ 利润总额:ERP [XXX万] — 报告填列 [XXX万] — 一致 [✅/⚠️]
□ 资产总额:ERP [XXX万] — 报告填列 [XXX万] — 一致 [✅/⚠️]
□ 负债总额:ERP [XXX万] — 报告填列 [XXX万] — 一致 [✅/⚠️]
□ 所有者权益:ERP [XXX万] — 报告填列 [XXX万] — 一致 [✅/⚠️]

□ 数据准确性:[✅ 准确 / ⚠️ 存在差异]
□ 差异项:[...]
□ 差异原因:[...]
□ 更正状态:[✅ 已更正 / ⚠️ 待更正]

第四步:内部审批

按流程完成内部审批:

□ 审批流程:
□ 填报人:[财务专员] — 填报完成:[✅ 是]
□ 审核人:[财务经理] — 审核完成:[✅/⚠️/待审核]
□ 批准人:[CFO] — 批准完成:[✅/⚠️/待批准]

□ 审批完成时间:[YYYY-MM-DD]
□ 审批意见(如有):[...]

第五步:生成报送确认报告

═══════════════════════════════════════
监管报告报送确认报告
报告类型:[月度/季度/年度报告]
报告期间:[YYYY年MM月/年度]
报告日期:[YYYY-MM-DD]
═══════════════════════════════════════

【一、报告概况】

□ 报告类型:[月度财务数据/季度报告/年度报告]
□ 报送对象:[国资委/统计局/财政厅]
□ 报告期间:[YYYY年MM月/年度]

□ 报送截止:[YYYY-MM-DD]
□ 实际报送:[YYYY-MM-DD]
□ 是否按时:[✅ 是 / 🔴 否]

【二、数据来源】

□ 数据来源:[ERP]
□ 数据截止:[YYYY-MM-DD]

□ 主要数据:
□ 营业收入:[XXX万]
□ 利润总额:[XXX万]
□ 净利润:[XXX万]
□ 资产总额:[XXX万]
□ 负债总额:[XXX万]
□ 所有者权益:[XXX万]

【三、数据核查】

□ 数据准确性:[✅ 准确 / ⚠️ 存在差异]
□ 差异项:[✅ 无 / ⚠️ X 项]

□ 差异情况(如有):
□ [差异项] — ERP [XXX万] — 报告 [XXX万] — 原因 [描述]

【四、审批流程】

□ 填报人:[姓名] — 完成:[✅]
□ 审核人:[姓名] — 完成:[✅/⚠️]
□ 批准人:[姓名] — 完成:[✅/⚠️]

□ 审批完成时间:[YYYY-MM-DD]

【五、报送确认】

□ 报送状态:[✅ 已报送 / ⚠️ 待报送 / 🔴 延误]

□ 报送方式:[电子报送/纸质报送/两者皆须]
□ 报送凭证归档:[✅ 是 / ⚠️ 否]

□ 报送确认截图/凭证:[已归档位置]

【六、待跟进事项】

□ [✅ 无待跟进项 / ⚠️ 待跟进项 X 项]

═══════════════════════════════════════
编制人:[财务专员]
审核人:[财务经理]
批准人:[CFO]
═══════════════════════════════════════

Read the full file on GitHub · 183 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. 11d ago First seen · 183 lines · 104 tokens per session scan A cb60d343ca76

Subscribe to this mod's changes

regulatory-reporting is a skill published in the GitHub repository vivy-yi/finance-skills (28 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 1,505 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.

Related

Other skills, from other repositories

wealth-structure

A framework for thinking about wealth through ownership, responsibility, leverage, and avoiding risks that could end your progress.

kangarooking/cangjie-skill · 141 tokens

iso-13485-certification

Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work…

foryourhealth111-pixel/Vibe-Skills · 126 tokens

alpha-vantage

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market…

foryourhealth111-pixel/Vibe-Skills · 126 tokens

hedgefundmonitor

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity…

foryourhealth111-pixel/Vibe-Skills · 123 tokens

edgartools

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K…

foryourhealth111-pixel/Vibe-Skills · 110 tokens

asc-ppp-pricing

Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.

rorkai/app-store-connect-cli-skills · 45 tokens