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 vivy-yi/finance-skills --skill m-and-a-mastergit clone --depth 1 https://github.com/vivy-yi/finance-skillsWrote 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/vivy-yi/finance-skills/m-and-a-master)<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.
<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>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 | $0.00131 | $0.01419 |
| Opus 5 | $0.00066 | $0.00709 |
| Sonnet 5 | $0.00026 | $0.00284 |
| Haiku 4.5 | $0.00013 | $0.00142 |
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.
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 |
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.
- 9d ago First seen · 168 lines · 131 tokens per session scan A 450ceee8ebda
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.
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