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 guoliang1114-boop/AriaAI --skill commercial-due-diligencegit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote 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/guoliang1114-boop/ariaai/commercial-due-diligence)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.02788 |
| Opus 5.5 | $0.00012 | $0.01115 |
| Sonnet 5.5 | $0.00006 | $0.00558 |
| Haiku 4.5 | $0.00003 | $0.00279 |
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 1mo 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 — 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：____
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.
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.
- 1mo ago First seen · 295 lines · 29 tokens per session scan A 860ed5dcbf81
commercial-due-diligence is a skill published in the GitHub repository guoliang1114-boop/AriaAI (40 stars, last pushed 12d ago), licensed MIT. It adds 29 tokens to every session and 2,788 once invoked, about $0.0001 per session on Opus 5.5. 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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