"fin-m-and-a"

"fin-m-and-a" is a skill for Claude Code from charlieviettq/awesome-agent-skill. It costs 217 tokens per session (5,952 once invoked), scanned A, a copy of fin-m-and-a, MIT.

A playbook for mergers and acquisitions, covering the process from strategic rationale and target screening through due diligence, valuation, deal terms, contracts, and post-merger integration.

In plain words
What is it for?
Use it to plan acquisitions, review targets, prepare due diligence, analyse synergies, structure deals, discuss purchase-agreement terms, and plan integration.
Why use it?
It gives teams a structured way to assess, negotiate, and carry out a company purchase or combination across financial, legal, commercial, and organisational work.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to plan acquisitions, review targets, prepare due diligence, analyse synergies, structure deals, discuss purchase-agreement terms, and plan integration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/charlieviettq/awesome-agent-skill/fin-m-and-a
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 charlieviettq/awesome-agent-skill --skill fin-m-and-a
Clone the repo
git clone --depth 1 https://github.com/charlieviettq/awesome-agent-skill

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 "fin-m-and-a"

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-m-and-a/github.svg)](https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/fin-m-and-a)
Your own site
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/fin-m-and-a"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-m-and-a/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 "fin-m-and-a"

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/fin-m-and-a"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-m-and-a.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 217 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,952 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 92% copy Near-identical to another mod 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 $0.00217 $0.05952
Opus 5 $0.00109 $0.02976
Sonnet 5 $0.00043 $0.01190
Haiku 4.5 $0.00022 $0.00595

Measured 9d ago against content hash 596b11508f5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

"fin-m-and-a" 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.

Origin

This is a copy

92% identical to fin-m-and-a — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/fin-m-and-a/SKILL.md · 391 lines

How it starts

The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.

併購交易整合 Playbook(M&A Integration Playbook)

定位

為什麼 EMBA 要學 M&A Playbook

M&A 是商學教育中最「跨領域」的主題:需要策略、財務、會計、稅務、法律、組織行為整合。多數 EMBA 學員(或其公司)在以下情境會遇到:

  • 成長瓶頸需外部併購
  • 被大型集團收購談判
  • 投資 PE 基金後的併購決策
  • 接班過程的家族股權重組
  • IPO 前的策略性併購
  • 國際擴張的跨境併購

本 skill 的定位:不是單純估值工具(DCF、可比公司法),而是整個交易生命週期的導航。估值只是其中一個模組。

與相近 Asgard skill 的邊界

  • biz-dcf — 估值技術(DCF 建模)
  • fin-modeling — 財務建模工具
  • biz-financial-ratios — 比率分析
  • biz-value-chain — 策略工具
  • biz-corporate-governance(本 repo)— 治理結構
  • 本 skill — 併購交易的整體 playbook,協調上述工具並加入 DD、交易結構、PMI、合約層

何時使用

觸發條件

  • 任何併購案從「要不要做」到「怎麼做」的決策
  • 估值報告爭議調解
  • 交易結構設計(含跨國)
  • SPA(Share Purchase Agreement)條款談判準備
  • PMI 規劃與執行
  • 敵意收購防禦/公開收購應對
  • EMBA 財管組個案、企業併購模擬

不適用

  • 單純 DCF 估值 → Asgard biz-dcf
  • 純財務建模 → Asgard fin-modeling
  • 投資組合理論 → Asgard grad-fama-french
  • 單一上市公司財報分析 → Asgard data-financial-analysis

IRON LAW — M&A 三條鐵律

IRON LAW 1:70% 併購案毀滅股東價值
多個學術研究(KPMG、BCG、McKinsey 長期追蹤)顯示:
買方股東 1 年後累積異常報酬為負的比例約 60–70%。
不是「為什麼要併購」,而是「為什麼不做時勢會更好」。
沒通過這個挑戰的併購案應放棄。
IRON LAW 2:綜效(Synergy)永遠被高估
成本綜效(裁員、共採)達成率約 70%;
營收綜效(交叉銷售、整合市場)達成率 < 30%。
任何營收綜效在估值模型中都該打 0.3 係數。
「保守估計綜效」是所有併購報告的底線。
IRON LAW 3:整合(PMI)在 Day 1 之前就要規劃
60% 的併購失敗可追溯到 PMI 規劃不足。
交易結束才開始想怎麼整合 = 已經輸一半。
DD 階段必須產出初版 100-day plan,簽約前完成詳版。

Rationalization Table — 當 Claude 想「本案例外」時,先自問

可能想 但 Iron Law 仍適用,因為
「這案子戰略合理、估值便宜,推薦進行」 仍要挑戰「不做時勢會不會更好」;若答案是「差不多」,傾向放棄而非推進
「承諾綜效是財務部認真估算的 X 億,應全額納入估值」 營收綜效達成率 < 30%,必須打 0.3 係數;成本綜效 × 0.7;財務綜效 × 0.5
「DD 完成後再規劃 PMI」 60% 併購失敗源於 PMI 晚;PMI 初版必須在 DD 階段就啟動、簽約前完成詳版

八大交易模組

┌───────────────────────────────────────┐
│ 模組 8:整合(PMI)                    │
│   100-day plan、文化融合、人才保留    │
├───────────────────────────────────────┤
│ 模組 7:合約條款(SPA)                │
│   關鍵條款、Reps & Warranties         │
├───────────────────────────────────────┤
│ 模組 6:交易結構                       │
│   股權 vs. 資產、支付工具、稅務       │
├───────────────────────────────────────┤
│ 模組 5:綜效分析                       │
│   營收/成本/稅務/財務四類          │
├───────────────────────────────────────┤
│ 模組 4:估值與估值橋                   │
│   EV-to-Equity、三種方法交叉驗證       │
├───────────────────────────────────────┤
│ 模組 3:盡職調查(DD)                 │
│   財稅/法律/商業三大類              │
├───────────────────────────────────────┤
│ 模組 2:目標篩選                       │
│   策略契合度、市場地位、可併性        │
├───────────────────────────────────────┤
│ 模組 1:戰略動機                       │
│   Why M&A vs. Organic vs. JV          │
└───────────────────────────────────────┘

Read the full file on GitHub · 391 lines

Files

What ships with it

8 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. 9d ago First seen · 391 lines · 217 tokens per session scan A 596b11508f5c

Subscribe to this mod's changes

"fin-m-and-a" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (25 stars, last pushed 1mo ago), licensed MIT. It adds 217 tokens to every session and 5,952 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to fin-m-and-a, differing in 9 lines, and is treated as a copy.

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