fraud-investigation

fraud-investigation is a skill for Claude Code from vivy-yi/finance-skills. It costs 69 tokens per session (1,544 once invoked), scanned A, original, MIT.

A structured investigation process for suspected fraud, including initial assessment, authorization, evidence collection, interviews, fact checking, impact assessment, and reporting.

In plain words
What is it for?
Use it for suspected asset misuse, false financial reporting, procurement fraud, revenue fraud, bribery, or undisclosed conflicts of interest.
Why use it?
It gives organizations a documented way to handle allegations or warning signs while preserving evidence and assessing financial and reporting effects.

Skill for Claude Code

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

Good fit Use it for suspected asset misuse, false financial reporting, procurement fraud, revenue fraud, bribery, or undisclosed conflicts of interest.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/fraud-investigation
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 fraud-investigation
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 fraud-investigation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/fraud-investigation"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fraud-investigation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,544 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 $0.00069 $0.01544
Opus 5 $0.00034 $0.00772
Sonnet 5 $0.00014 $0.00309
Haiku 4.5 $0.00007 $0.00154

Measured 9d ago against content hash c3a04138cb18, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fraud-investigation 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 9d 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/internal-audit/skills/fraud-investigation/SKILL.md · 202 lines

What it actually says

加载上下文

首次使用时: 读取 ../../CLAUDE.md 获取舞弊红旗指标/举报渠道/调查权限。


/fraud-investigation — 舞弊调查

适用舞弊类型

□ 挪用资产(Cash Misappropriation)
□ 虚假财务报表(Fraudulent Financial Reporting)
□ 采购舞弊(Procurement Fraud)
□ 收入舞弊(Revenue Fraud)
□ 腐败与贿赂(Corruption/Bribery)
□ 利益冲突未披露(Undisclosed Conflict of Interest)

第一步:初步评估(48 小时内完成)

□ 线索来源:
□ 内部举报(热线/邮件/信函)
□ 审计中发现
□ 管理层要求
□ 外部监管要求

□ 初步评估:
□ 舞弊类型:[...]
□ 涉及人员:[姓名/岗位/部门]
□ 涉及金额估算:[X] 万元
□ 证据可获取性:[高/中/低]
□ 涉及管理层:[✅ 是 / ⚠️ 否]

□ 是否立即行动:
□ ✅ 启动正式调查(证据可信 + 涉及管理层/重大金额)
□ ⚠️ 进一步观察(线索不足但值得关注)
□ ❌ 不启动(证据不可信/金额极小)

第二步:调查启动(获批后)

□ 调查授权:
□ 授权人:[审计委员会主席/CFO/CEO]
□ 授权日期:[YYYY-MM-DD]
□ 调查范围:[描述]

□ 调查团队:
□ 内部调查负责人:[姓名]
□ 内部调查成员:[姓名 1/2/3]
□ 是否引入外部专家(律师/法证会计):[是/否]

□ 保密措施:
□ 知情范围:仅 [X] 人知悉
□ 系统权限冻结(如必要):[是/否 — 涉及人员/系统]
□ 文档保护措施:[...]

第三步:证据收集与事实核查

□ 文档审查:
□ 财务记录(银行流水/凭证/合同):[X] 份
□ 系统访问日志:[X] 条
□ 审批记录:[X] 份
□ 邮件/通讯记录:[X] 份

□ 访谈:
□ 被举报人访谈:[✅ 已完成 / ☐ 待进行]
□ 相关人员访谈:[✅ 已完成 / ☐ 待进行]
□ 证人访谈:[✅ 已完成 / ☐ 待进行]

□ 数据分析:
□ 异常交易笔数:[X]
□ 异常交易金额:[X] 万元
□ 涉及时间跨度:[YYYY-MM-DD 至 YYYY-MM-DD]

□ 证据链完整性:
□ 核心证据:[已获取/待获取]
□ 旁证:[已获取/待获取]
□ 证据链是否闭合:[✅ 是 / ⚠️ 否 — 缺失项:...]

第四步:影响评估

□ 财务影响:
□ 已确认损失:[X] 万元
□ 潜在损失(上限):[X] 万元
□ 预期可追回:[X] 万元

□ 对报表影响:
□ 是否影响当期报表:[是/否]
□ 影响金额:[X] 万元
□ 是否须追溯调整:[是/否]

□ 对业务影响:
□ 涉事岗位业务连续性:[是否须临时调配人员]
□ 声誉风险:[高/中/低]
□ 监管报告义务:[是/否 — 须向 [X] 报告]

第五步:报告与整改

□ 报告层级:
□ 须报告:[审计委员会主席/CEO/法务/HR]
□ 是否须报警:[是/否]
□ 是否须通知外部监管机构:[是/否]

□ 报告内容摘要:
□ 舞弊类型:[...]
□ 涉及人员:[...]
□ 确认损失:[X] 万元
□ 整改措施:[...]

□ 人员处理:
□ 涉事人员:[调离岗位/解除劳动关系/降职]
□ 处理依据:[公司制度/劳动法]

□ 内控整改:
□ 须整改的控制缺陷:[...]
□ 整改责任人:[X]
□ 整改期限:[YYYY-MM-DD]

输出格式

═══════════════════════════════════════
舞弊调查报告
调查启动日期:[YYYY-MM-DD]
报告日期:[YYYY-MM-DD]
涉密级别:[高度机密]
═══════════════════════════════════════

【一、调查授权】
□ 授权人:[姓名]
□ 授权日期:[YYYY-MM-DD]

【二、舞弊类型与概述】
□ 舞弊类型:[...]
□ 涉事人员:[姓名/岗位/部门]
□ 涉事期间:[YYYY-MM-DD 至 YYYY-MM-DD]

【三、调查过程】
□ 审查文档:[X] 份
□ 访谈人数:[X] 人
□ 分析交易笔数:[X] 笔

【四、调查结论】
□ 舞弊事实:[✅ 已证实 / ⚠️ 部分证实 / ❌ 未证实]
□ 已确认损失:[X] 万元
□ 潜在损失:[X] 万元

【五、影响评估】
□ 财务影响:[X] 万元
□ 报表影响:[是/否 — 金额 X 万元]
□ 声誉风险:[高/中/低]

【六、已采取行动】
□ 系统权限:[已冻结/未冻结]
□ 涉事人员:[已处理/处理中]
□ 报告对象:[已报告/待报告]

【七、后续整改要求】
□ 整改项 1 — 责任人 [X] — 期限 [YYYY-MM-DD]
□ 整改项 2 — 责任人 [X] — 期限 [YYYY-MM-DD]

═══════════════════════════════════════
调查负责人:[姓名]
审核人:[审计委员会主席]
═══════════════════════════════════════
[本报告高度机密,仅限授权人员查阅]
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. 9d ago First seen · 202 lines · 69 tokens per session scan A c3a04138cb18

Subscribe to this mod's changes

fraud-investigation is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 1,544 once invoked, about $0.0003 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 2026-09-03.

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