valuation-integration

valuation-integration is a skill for Claude Code from vivy-yi/finance-skills. It costs 87 tokens per session (2,032 once invoked), scanned A, original, MIT.

A combined business valuation analysis that compares results from discounted cash flow, comparable companies, and past transactions. It produces a valuation range and an investment or pricing recommendation.

In plain words
What is it for?
Use it in acquisitions, investments, or pricing discussions when several valuation models need to be reconciled. It can also test whether expected merger benefits support a proposed price.
Why use it?
Different valuation methods can give very different answers. Combining them makes the assumptions and negotiation range easier to assess.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md.

Good fit Use it in acquisitions, investments, or pricing discussions when several valuation models need to be reconciled. It can also test whether expected merger benefits support a proposed price.

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Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/valuation-integration
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 valuation-integration
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 valuation-integration

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/valuation-integration"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/valuation-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,032 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 $0.00087 $0.02032
Opus 5 $0.00044 $0.01016
Sonnet 5 $0.00017 $0.00406
Haiku 4.5 $0.00009 $0.00203

Measured 9d ago against content hash d9c2ab887b16, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

valuation-integration 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/valuation-integration/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

加载上下文

首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(估值方法权重/行业特点/谈判策略)。


/valuation-integration — 估值综合分析

Examples

→ 示例:用户说"三种估值方法结果不一样,最终交易价格怎么定,帮我综合分析一下",系统应调用本技能,整合多种估值方法并给出定价建议。

→ 示例:用户说"管理层对估值区间有争议,需要一个中立角度的分析",系统应调用本技能,生成中立估值综合报告。

→ 示例:用户说"交易估值确定了,帮我评估一下协同效应能不能支撑这个价格",系统应调用本技能,评估协同效应支撑的交易价格合理性。

第一步:各估值方法汇总

DCF 估值结果:

□ 估值区间:[X-X] 万(中值 [X] 万)
□ 核心假设:WACC [X]%,永续增长 [X]%
□ 置信度:[✅ 高 / ⚠️ 中 / 🔴 低]
□ 方法适用性:[✅ 适合 / ⚠️ 基本适合 / 🔴 不确定]

可比公司法估值结果:

□ EV/EBITDA 倍数法:
  → 可比公司:[列表]
  → 中位数倍数:[X]x
  → 调整后倍数:[X]x(流动性折价/控股权溢价)
  → 估值结果:[X] 万

□ P/E 倍数法(如适用):
  → 可比公司:[列表]
  → 中位数倍数:[X]x
  → 调整后倍数:[X]x
  → 估值结果:[X] 万

□ P/S 倍数法(如适用):
  → 可比公司:[列表]
  → 中位数倍数:[X]x
  → 估值结果:[X] 万

□ 可比公司法估值区间:[X-X] 万(中值 [X] 万)
□ 置信度:[✅ 高 / ⚠️ 中 / 🔴 低]

交易法估值结果(Precedent Transactions):

□ 近期交易:[交易列表]
□ 交易倍数中位数:[X]x(EV/EBITDA)
□ 控股权溢价中位数:[X]%
□ 交易法估值:[X] 万
□ 置信度:[✅ 高 / ⚠️ 中 / 🔴 低]

第二步:估值结果对比分析

各方法估值对比:

| 估值方法 | 低值 | 中值 | 高值 | 置信度 |
|---------|------|------|------|--------|
| DCF | [X]万 | [X]万 | [X]万 | [高/中/低] |
| 可比公司 EV/EBITDA | [X]万 | [X]万 | [X]万 | [高/中/低] |
| 可比公司法 P/E | [X]万 | [X]万 | [X]万 | [高/中/低] |
| 交易法 | [X]万 | [X]万 | [X]万 | [高/中/低] |

□ 各方法估值中值范围:[X-X] 万
□ 差异分析:
  → 最高 vs 最低中值差异:[+/-X]%([X] 万)
  → 差异原因:[分析]

方法可靠性评估:

□ DCF:适合 [高成长/稳定增长] 公司,但 [WACC/永续增长] 假设敏感
□ 可比公司法:市场情绪影响大, [流动性/控制权] 调整复杂
□ 交易法:历史交易可能不反映当前市场

第三步:权重分配与综合估值

权重分配依据:

□ 权重分配逻辑:
  → 根据 [方法适用性/数据可靠性/市场环境] 综合判断

□ 各方法权重:
| 估值方法 | 权重 | 权重依据 |
|---------|------|---------|
| DCF | [X]% | [描述] |
| 可比公司法 | [X]% | [描述] |
| 交易法 | [X]% | [描述] |

□ 加权估值:
  = [X]% × [X]万 + [X]% × [X]万 + [X]% × [X]万
  = [X] 万

综合估值区间:

□ 综合估值区间:[X-X] 万
□ 综合估值中值:[X] 万
□ 每股价值(如适用):[X] 元

□ 区间合理性评估:
  → 上限合理性:[描述]
  → 下限合理性:[描述]

第四步:与报价/谈判区间对比

对比分析:

□ 当前报价(如有):[X] 万
□ 报价 vs 综合估值中值:[+/-X]%(溢价/折价)
□ 报价 vs 估值区间:[在区间内/超出区间]

□ 谈判空间分析:
  → 可接受价格区间:[X-X] 万
  → 理想价格:[X] 万
  → 报价上限:[X] 万

第五步:投资建议

风险调整后建议:

□ 估值敏感性:
  → 对 [关键假设] 的敏感度较高
  → 主要风险:[描述]

□ 风险调整:
  → 协同效应价值:[X] 万(已计入/未计入)
  → 控制权溢价:[X]%([X] 万)
  → 流动性折价:[X]%([X] 万)

□ 投资建议:
  → [建议:买入/持有/观望/放弃]
  → 理由:[描述]

Read the full file on GitHub · 223 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 · 223 lines · 87 tokens per session scan A d9c2ab887b16

Subscribe to this mod's changes

valuation-integration is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 2,032 once invoked, about $0.0004 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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