commercial-due-diligence

commercial-due-diligence is a skill for Claude Code, Codex from guoliang1114-boop/AriaAI. It costs 29 tokens per session (2,788 once invoked), scanned A, original, MIT.

A commercial review of a company’s market, competitors, customers, revenue, growth prospects, and potential benefits from combining with another business. It is commonly used before an acquisition or investment.

In plain words
What is it for?
Use it to size a market, compare competitors, assess customer quality and retention, examine recurring revenue, model growth, and estimate possible sales or cost benefits.
Why use it?
It helps investors test whether a company’s growth and income are sustainable, rather than relying only on the seller’s claims. It also identifies market threats and realistic growth opportunities.

Skill for Claude CodeCodex

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

Good fit Use it to size a market, compare competitors, assess customer quality and retention, examine recurring revenue, model growth, and estimate possible sales or cost benefits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guoliang1114-boop/ariaai/commercial-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 guoliang1114-boop/AriaAI --skill commercial-due-diligence
Clone the repo
git clone --depth 1 https://github.com/guoliang1114-boop/AriaAI

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 commercial-due-diligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/commercial-due-diligence/github.svg)](https://agentmods.dev/skills/guoliang1114-boop/ariaai/commercial-due-diligence)
Your own site
<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/commercial-due-diligence"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/commercial-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 commercial-due-diligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/commercial-due-diligence"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/commercial-due-diligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,788 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00029 $0.02788
Opus 5 $0.00015 $0.01394
Sonnet 5 $0.00006 $0.00558
Haiku 4.5 $0.00003 $0.00279

Measured 12d ago against content hash 860ed5dcbf81, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

commercial-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 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.

skills/commercial-due-diligence/SKILL.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

商业尽职调查

When To Use

  • 并购交易中对目标公司的商业可行性评估
  • 投资决策前的市场和竞争环境分析
  • 目标公司客户基础和收入质量评估
  • 增长可持续性和业务前景判断
  • 私募股权/风险投资的投前评估

Tools

  • 行业数据库(IBISWorld、Statista、Wind)
  • 竞争情报工具(Crunchbase、天眼查、企查查)
  • 客户访谈问卷模板
  • 市场规模测算模型(TAM/SAM/SOM)
  • 财务模型(收入预测、敏感性分析)

Framework

McKinsey Commercial Due Diligence Framework — 6 Workstreams

Workstream 1: Market Attractiveness(市场吸引力)

  • 市场规模及增长趋势(TAM → SAM → SOM)
  • 市场驱动因素和制约因素
  • 行业生命周期阶段
  • 监管环境及政策趋势
  • 技术变革影响

Workstream 2: Competitive Positioning(竞争定位)

  • 波特五力分析(供应商/买方议价力、替代品威胁、新进入者威胁、现有竞争)
  • 市场份额及集中度(HHI指数)
  • 竞争优势来源(成本/差异化/聚焦)
  • 竞争对手对标分析
  • 进入壁垒评估

Workstream 3: Customer Quality(客户质量)

  • 客户集中度(Top 10客户占比)
  • 客户留存率和流失率
  • 客户生命周期价值(CLV)
  • 客户满意度和NPS评分
  • 客户获取成本(CAC)及回收期

Workstream 4: Revenue Sustainability(收入可持续性)

  • 收入构成分析(产品/客户/区域/渠道)
  • 经常性收入 vs 一次性收入
  • 定价能力和价格趋势
  • 订单积压和管道分析
  • 收入增长的有机/非有机拆分

Workstream 5: Growth Opportunities(增长机会)

  • 产品/服务扩展机会
  • 地理扩张潜力
  • 并购整合机会
  • 数字化转型机会
  • 新业务模式探索

Workstream 6: Synergy Potential(协同效应)

  • 收入协同(交叉销售、渠道共享)
  • 成本协同(规模经济、采购优化)
  • 运营协同(流程优化、技术共享)
  • 协同效应的实现时间表和概率

Workflow

1. 项目启动
   ├─ 确定调查范围和重点
   ├─ 收集初步资料(CIM、财务数据)
   ├─ 制定工作计划和访谈清单
   └─ 组建项目团队

2. 市场分析(WS1)
   ├─ 行业研究和市场规模测算
   ├─ 市场驱动因素和趋势分析
   ├─ 监管环境评估
   └─ 市场吸引力评分

3. 竞争分析(WS2)
   ├─ 竞争格局绘制
   ├─ 竞争对手深度分析
   ├─ 目标公司竞争地位评估
   └─ 竞争优势可持续性判断

4. 客户分析(WS3)
   ├─ 客户数据深度分析
   ├─ 客户访谈(10-20个代表性客户)
   ├─ 客户满意度调查
   └─ 客户质量评分

5. 收入与增长分析(WS4-5)
   ├─ 收入拆解和趋势分析
   ├─ 增长驱动因素识别
   ├─ 增长机会评估
   └─ 收入预测模型

6. 协同效应评估(WS6)
   ├─ 协同效应识别
   ├─ 量化测算
   ├─ 实现路径设计
   └─ 风险和依赖因素

7. 综合判断
   ├─ 投资亮点和风险总结
   ├─ 估值影响分析
   ├─ 投后价值创造计划建议
   └─ 最终报告撰写

Output Format

# 商业尽职调查报告

## 一、执行摘要
- 投资论点:____
- 关键发现:____
- 主要风险:____
- 建议结论:____

## 二、市场吸引力评估
| 维度 | 评分(1-5) | 关键发现 |
|------|-----------|----------|
| 市场规模 | | |
| 增长趋势 | | |
| 驱动因素 | | |
| 监管环境 | | |
| 技术趋势 | | |

### 市场规模测算
| 层级 | 规模 | 计算方法 |
|------|------|----------|
| TAM | | |
| SAM | | |
| SOM | | |

## 三、竞争定位分析
| 竞争对手 | 市场份额 | 核心优势 | 主要劣势 | 威胁程度 |
|----------|----------|----------|----------|----------|
| | | | | |

### 波特五力评估
| 力量 | 强度 | 分析 |
|------|------|------|
| 供应商议价力 | | |
| 买方议价力 | | |
| 新进入者威胁 | | |
| 替代品威胁 | | |
| 行业竞争强度 | | |

## 四、客户质量分析
| 指标 | 数值 | 趋势 | 评价 |
|------|------|------|------|
| Top10客户集中度 | | | |
| 客户留存率 | | | |
| NPS评分 | | | |
| CAC | | | |
| CLV | | | |

## 五、收入可持续性与增长
### 收入构成
| 维度 | 类别 | 金额 | 占比 | 增长率 |
|------|------|------|------|--------|
| 产品 | | | | |
| 客户 | | | | |
| 区域 | | | | |

### 增长机会
| 机会 | 规模 | 可行性 | 时间 | 投入 |
|------|------|--------|------|------|
| | | | | |

## 六、协同效应
| 类型 | 协同项 | 规模 | 实现时间 | 概率 | 期望值 |
|------|--------|------|----------|------|--------|
| 收入 | | | | | |
| 成本 | | | | | |

## 七、投资建议
- 投资论点评级:强/中/弱
- 关键价值驱动因素:____
- 主要风险因素:____
- 估值建议区间:____

Read the full file on GitHub · 295 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 295 lines · 29 tokens per session scan A 860ed5dcbf81

Subscribe to this mod's changes

commercial-due-diligence is a skill published in the GitHub repository guoliang1114-boop/AriaAI (37 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 2,788 once invoked, about $0.0001 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.