m-and-a-master

m-and-a-master is a skill for Claude Code from vivy-yi/finance-skills. It costs 131 tokens per session (1,419 once invoked), scanned A, original, MIT.

A skill for managing the financial and strategic work around acquiring or investing in a company. M&A means mergers and acquisitions, including buying, selling, or combining companies.

In plain words
What is it for?
Use it to support target-company due diligence, estimate value, design transaction structures, and track financial integration after closing.
Why use it?
It connects due diligence, valuation, deal structure, and post-deal integration into one process for an M&A project.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to support target-company due diligence, estimate value, design transaction structures, and track financial integration after closing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/m-and-a-master
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 m-and-a-master
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 m-and-a-master

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/m-and-a-master"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/m-and-a-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,419 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 $0.00131 $0.01419
Opus 5 $0.00066 $0.00709
Sonnet 5 $0.00026 $0.00284
Haiku 4.5 $0.00013 $0.00142

Measured 9d ago against content hash 450ceee8ebda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

m-and-a-master 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/m-and-a-master/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

M&A 并购 Master Skill

能力描述

这是什么: M&A 场景的主技能,整合尽调支持、估值分析、交易结构建议与整合追踪,为 CFO 和战略团队提供完整的 M&A 项目管理能力。

解决什么问题: 当用户需要进行尽职调查、评估目标公司估值、设计交易结构、跟踪整合进度时,调用本技能获取完整的 M&A 管理方案。

边界: 不涉及具体业务运营,专注于 M&A 项目的财务和战略层面管理。


触发条件

满足以下任一场景时调用本技能:

  • 用户提到"M&A"、"并购"、"尽职调查"、"目标公司"
  • 用户提到"估值"、"交易结构"、"协同效应"、"整合"
  • 用户要求"做尽调"、"评估估值"、"设计交易结构"、"追踪整合"

Examples

→ 示例:用户说"有一个收购标的在尽调阶段,财务团队需要配合做什么",系统应调用本技能,进入尽调支持路径。

→ 示例:用户说"目标公司的估值模型建好了,帮我看看假设是否合理",系统应调用本技能,进入估值分析路径。

→ 示例:用户说"交割完成了,整合阶段财务要盯哪些指标",系统应调用本技能,进入整合追踪路径。

输入

□ 场景类型:[尽调支持/估值分析/交易结构/整合追踪]
□ 项目阶段:[筛选/尽调/谈判/交割/整合]
□ 目标公司:[名称]
□ 交易金额:[X] 亿(如已知)
□ 已获取信息:[描述]

原子能力调用顺序

路径一:尽调支持
Step 1 → [财务尽调](financial-due-diligence)
  → 输出:财务尽调报告

Step 2 → [运营尽调](operational-due-diligence)
  → 输出:运营尽调报告

Step 3 → [风险识别](risk-identification)
  → 输出:风险清单

Step 4 → [尽调整合](due-diligence-integration)
  → 输出:综合尽调结论

路径二:估值分析
Step 1 → [DCF 建模](dcf-modeling)
  → 输出:DCF 估值

Step 2 → [可比分析](comparable-analysis)
  → 输出:可比估值

Step 3 → [估值整合](valuation-integration)
  → 输出:估值区间

Step 4 → [交易结构建议](deal-structure-advice)
  → 输出:结构建议

路径三:整合追踪
Step 1 → [整合计划](integration-planning)
  → 输出:整合计划

Step 2 → [协同追踪](synergy-tracking)
  → 输出:协同效应追踪

Step 3 → [整合风险管理](integration-risk-management)
  → 输出:风险报告

Step 4 → 汇总输出整合追踪报告

输出格式

M&A 项目管理报告
====================

【项目概览】
□ 目标公司:[名称]
□ 项目阶段:[筛选/尽调/谈判/交割/整合]
□ 预计交易金额:[X] 亿

【尽调结论】(如有)
□ 重大发现:[X] 项
□ 重大风险:[X] 项
□ 估值影响:[调整说明]

【估值分析】(如有)
□ DCF 估值:[X] 亿
□ 可比估值:[X] 亿
□ 建议估值区间:[X] 亿 - [X] 亿

【交易结构】(如有)
□ 建议结构:[股权/债权/混合]
□ 支付方式:[现金/股票/混合]
□ 对赌机制:[建议/不建议]

【整合追踪】(如有)
□ 整合进度:[X%]
□ 协同效应实现:[X] 万/年
□ 主要风险:[描述]
□ 里程碑达成:[X/Y]

【下一步行动】
□ [行动] — 责任人 — 完成时间

升级条件

满足以下任一条件须立即升级:

  • 发现重大财务造假 → 立即升级 CEO/CFO/法务
  • 估值差异 > [X]% → 重新报董事会
  • 须终止交易 → CEO + 董事会审批

原子 Skill 清单

原子 Skill 用途
financial-due-diligence 财务尽职调查
operational-due-diligence 运营尽职调查
risk-identification 风险识别
due-diligence-integration 尽调整合
dcf-modeling DCF 建模
comparable-analysis 可比公司/交易分析
valuation-integration 估值整合
deal-structure-advice 交易结构建议
integration-planning 整合计划
synergy-tracking 协同效应追踪
integration-risk-management 整合风险管理

Read the full file on GitHub · 168 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 · 168 lines · 131 tokens per session scan A 450ceee8ebda

Subscribe to this mod's changes

m-and-a-master is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 131 tokens to every session and 1,419 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

hive.colony-progress-tracker

Claim tasks, record step progress, and verify SOP gates in the colony SQLite queue. Applies when your spawn message includes a dbpath field.

aden-hive/hive · 36 tokens

wealth-structure

A framework for thinking about wealth through ownership, responsibility, leverage, and avoiding risks that could end your progress.

kangarooking/cangjie-skill · 141 tokens

alpha-vantage

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market…

foryourhealth111-pixel/Vibe-Skills · 126 tokens

hedgefundmonitor

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity…

foryourhealth111-pixel/Vibe-Skills · 123 tokens

edgartools

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K…

foryourhealth111-pixel/Vibe-Skills · 110 tokens

asc-ppp-pricing

Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.

rorkai/app-store-connect-cli-skills · 45 tokens