financial-due-diligence

financial-due-diligence is a skill for Claude Code from vivy-yi/finance-skills. It costs 109 tokens per session (2,473 once invoked), scanned A, original, MIT.

A finance-focused skill for investigating a company before an investment or acquisition. Financial due diligence checks whether financial data is reliable and looks for asset-quality problems, hidden debts, and other risks.

In plain words
What is it for?
Use it to review historical accounts, verify revenue, assess financial data quality, identify hidden liabilities, and summarize financial risks.
Why use it?
It helps decision-makers test whether reported revenue, margins, profits, and liabilities accurately reflect the company’s financial position.

Skill for Claude Code

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

Good fit Use it to review historical accounts, verify revenue, assess financial data quality, identify hidden liabilities, and summarize financial risks.

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Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/financial-due-diligence
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 financial-due-diligence
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 financial-due-diligence

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/financial-due-diligence"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/financial-due-diligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,473 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 $0.00109 $0.02473
Opus 5 $0.00055 $0.01236
Sonnet 5 $0.00022 $0.00495
Haiku 4.5 $0.00011 $0.00247

Measured 9d ago against content hash 3e11021e7ba4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

financial-due-diligence 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/m-and-a/skills/financial-due-diligence/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 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(DD 标准清单/风险矩阵/估值方法偏好)。


/financial-due-diligence — 财务尽职调查

Examples

→ 示例:用户说"目标公司的 DD 报告出来了,帮我审阅一下财务风险部分",系统应调用本技能,审阅财务 DD 报告并识别关键风险点。

→ 示例:用户说"目标公司有几笔表外负债,需要在估值里考虑吗",系统应调用本技能,评估表外负债的估值影响。

→ 示例:用户说"帮我们审一下目标公司历史毛利率的真实性,有没有美化",系统应调用本技能,执行财务数据真实性分析。

第一步:DD 范围与计划确认

交易背景:

□ 目标公司:[名称]
□ 交易类型:[股权收购/资产收购/少数股权投资]
□ 目标公司估值:[X] 万(股权价值)
□ DD 范围:[全面 DD / 重点 DD(财务/税务/法务)]

□ DD 团队配置:
  → 财务 DD:[X] 人
  → 税务 DD:[X] 人
  → 法务 DD:[X] 人

□ 关键时间节点:
  → DD 启动:[YYYY-MM-DD]
  → DD 现场执行:[YYYY-MM-DD 至 YYYY-MM-DD]
  → DD 报告提交:[YYYY-MM-DD]

DD 重点关注领域(根据交易类型调整):

□ 股权收购重点:
  → 收入真实性与盈利质量
  → 历史财务数据是否规范
  → 隐性负债识别

□ 少数股权投资重点:
  →少数股东权益保护条款
  → 财务报表透明度
  → 利润分配机制

第二步:财务数据核实

历史财务数据核实:

□ 核实历史期间:[最近 3-5 年]
□ 审计情况:
  → 近 [X] 年经审计:[是/否]
  → 审计师:[名称]
  → 审计意见:[无保留/保留/无法表示]

□ 财务数据质量评估:
| 项目 | 数据可信度 | 主要发现 |
|------|----------|---------|
| 收入 | [高/中/低] | [描述] |
| 毛利率 | [高/中/低] | [描述] |
| 净利润 | [高/中/低] | [描述] |
| 资产负债 | [高/中/低] | [描述] |

收入真实性核实:

□ 收入核查方法:
  → 银行流水核对:[已完成/部分/未执行]
  → 客户函证:[回函率 X%,差异 X%]
  → 合同抽查:[抽查比例 X%,差异 X%]
  → 物流/出库记录核对:[已完成/部分]

□ 收入异常发现:
  → 虚构收入:[是/否] — [金额 X 万,占比 X%]
  → 跨期调节:[是/否] — [描述]
  → 关联方交易虚增:[是/否] — [描述]

第三步:盈利能力分析

盈利能力核实:

□ 毛利率分析:
  → 报表毛利率:[X]%
  → 核实后毛利率:[X]%(调整后)
  → 差异:[+/-X]%(差异原因:[描述])

□ 调整后 EBITDA:
  → 报表 EBITDA:[X] 万
  → 调整项:
    · [调整项 1]:[+/-X] 万
    · [调整项 2]:[+/-X] 万
  → 调整后 EBITDA:[X] 万
  → 调整后 EBITDA 率:[X]%

非经常性损益分析:

□ 非经常性损益:[X] 万
  → 政府补助:[X] 万
  → 资产处置收益:[X] 万
  → 其他:[X] 万

□ 经常性损益:[X] 万
□ 经常性损益占比:[X]%([✅ 盈利质量良好 / ⚠️ 依赖非经常性损益])

第四步:资产质量评估

资产核实:

□ 应收账款:
  → 账龄分布:[X] 天以内 [X]%,[X] 天以上 [X]%
  → 实际回收情况:[核实描述]
  → 可疑/坏账风险:[X] 万([X]%)

□ 存货:
  → 存货周转天数:[X] 天
  → 呆滞/过时风险:[X] 万([X]%)
  → 估值调整建议:[X] 万

□ 固定资产/无形资产:
  → 权属清晰度:[✅ 清晰 / ⚠️ 存在瑕疵]
  → 估值合理性:[评估描述]

□ 资产核实结论:
  → 总资产核实金额:[X] 万(vs 报表 [X] 万)
  → 资产质量评级:[高/中/低]

第五步:负债与或有负债识别

负债核实:

□ 负债核实结果:
  → 报表总负债:[X] 万
  → 核实后总负债:[X] 万
  → 差异:[+/-X] 万

□ 主要差异项:
  → [差异项 1]:[+/-X] 万
  → [差异项 2]:[+/-X] 万

Read the full file on GitHub · 280 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. 9d ago First seen · 280 lines · 109 tokens per session scan A 3e11021e7ba4

Subscribe to this mod's changes

financial-due-diligence is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 109 tokens to every session and 2,473 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 2026-09-03.

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