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 vivy-yi/finance-skills --skill regulatory-reportinggit clone --depth 1 https://github.com/vivy-yi/finance-skillsWrote 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/vivy-yi/finance-skills/regulatory-reporting)<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.
<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>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 | $0.00104 | $0.01505 |
| Opus 5 | $0.00052 | $0.00753 |
| Sonnet 5 | $0.00021 | $0.00301 |
| Haiku 4.5 | $0.00010 | $0.00151 |
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.
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]
═══════════════════════════════════════
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.
- 11d ago First seen · 183 lines · 104 tokens per session scan A cb60d343ca76
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.
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