project-valuation-master

project-valuation-master is a skill for Claude Code from vivy-yi/finance-skills. It costs 133 tokens per session (1,797 once invoked), scanned A, original, MIT.

An end-to-end workflow for evaluating an internal investment, from checking assumptions through valuation, risk analysis, comparison, and approval reporting.

In plain words
What is it for?
Collects project and financial assumptions, calculates NPV, IRR, and payback time, runs sensitivity analysis, adds strategic-option and internal-comparison work when relevant, and prepares a decision package.
Why use it?
It keeps the required investment checks in one sequence instead of leaving separate analyses disconnected.

Skill for Claude Code

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

Good fit Collects project and financial assumptions, calculates NPV, IRR, and payback time, runs sensitivity analysis, adds strategic-option and internal-comparison work when relevant, and prepares a decision package.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/project-valuation-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 project-valuation-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 project-valuation-master

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/project-valuation-master"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/project-valuation-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,797 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 $0.00133 $0.01797
Opus 5 $0.00067 $0.00898
Sonnet 5 $0.00027 $0.00359
Haiku 4.5 $0.00013 $0.00180

Measured 9d ago against content hash 2898de2f8869, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

project-valuation-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/project-valuation/skills/project-valuation-master/SKILL.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 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 获取估值方法偏好/IRR 门槛/折现率配置。


/project-valuation-master — 项目估值与投资决策主流程

完整投资分析流程

Step 1:数据收集与假设确认
  → 确认项目基本参数
  → 确认财务假设(收入/成本/折现率)
  → 来源核实

Step 2:DCF 估值(NPV + IRR)
  → 执行 npv-irr-calculation
  → 计算 NPV、IRR、回收期
  → 执行敏感性分析

Step 3:战略价值评估(可选)
  → 执行 real-options-analysis(如项目有战略价值/不确定性)

Step 4:可比参照
  → 执行 comparable-company-internal(如适用)

Step 5:投资决策报告
  → 执行 investment-decision-report
  → 生成完整投资决策包
  → 提交 CFO/IC/董事会审批

第一步:数据收集与假设确认

□ 项目基本信息:
□ 项目名称:[...]
□ 投资金额:[X] 万元
□ 建设期:[X] 个月
□ 运营期:[X] 年
□ 预计投产日:[YYYY-MM]

□ 财务假设:
□ 收入假设依据:[销售部/市场部/行业报告]
□ 成本假设依据:[财务部/生产部]
□ 折现率(WACC):[X]%

□ 假设合理性检查:
□ 收入增长率 vs 行业增速:[X]% vs 行业 [X]% — [✅ 合理 / ⚠️ 偏高 / 🔴 异常]
□ 毛利率 vs 历史水平:[X]% vs 历史 [X]% — [✅ 合理 / ⚠️ 偏高 / 🔴 异常]
□ 折现率 vs WACC:[X]% vs [X]% — [✅ 合理 / ⚠️ 偏离]

□ 假设置信度:[高/中/低]
□ 低置信度假设:[...]

第二步:DCF 估值

执行 Skill: npv-irr-calculation

□ 执行状态:[成功/失败]

□ 基准情景结果:
□ NPV:[X] 万元 — [✅ >0 创造价值 / ❌ <0 摧毁价值]
□ IRR:[X]% — vs 门槛 [X]% — [✅ 达标 / ❌ 未达标]
□ 投资回收期:[X] 年

□ 敏感性分析结果:
□ 销量 -10% 时 NPV:[X] 万元 — [✅ >0 / ❌ <0]
□ 价格 -10% 时 NPV:[X] 万元 — [✅ >0 / ❌ <0]
□ 成本 +10% 时 NPV:[X] 万元 — [✅ >0 / ❌ <0]
□ 悲观情景 NPV:[X] 万元 — [✅ >0 / ❌ <0]

□ 整体风险评估:[✅ 低风险 / ⚠️ 中风险 / 🔴 高风险]

第三步:实物期权(如适用)

执行 Skill: real-options-analysis(仅当项目有高不确定性/战略价值时)

□ 执行状态:[成功/失败/不适用]

□ 实物期权类型:[延迟/扩张/收缩/放弃]
□ 期权价值:[X] 万元(须加至 NPV)
□ 调整后项目价值:[NPV + 期权价值] = [X] 万元

□ 决策影响:
□ 有期权 → 项目仍可行:[✅ 是 / ❌ 否]
□ 无期权 → 项目是否可行:[✅ 是 / ❌ 否]

第四步:可比参照

执行 Skill: comparable-company-internal(如可比数据可得时)

□ 执行状态:[成功/失败/不适用]

□ 可比项目/公司:[X] 个
□ 可比 EV/EBITDA 均值:[X]x
□ 参照估算项目价值:[X] 万元
□ 与 DCF NPV 对比差异:[X] 万元 / [±X]%

第五步:投资决策报告

执行 Skill: investment-decision-report

□ 执行状态:[成功/失败]

□ 投资决策建议:
□ ✅ 推荐投资:NPV > 0 且 IRR 达标
□ ⚠️ 慎重考虑:NPV > 0 但 IRR 临界,或须附战略理由
□ ❌ 不建议投资:NPV < 0 且无充分战略理由

□ 提交审批层级:
□ 部门总监 / CFO / IC / 董事会

综合输出

═══════════════════════════════════════
投资决策包
项目:[项目名称]
投资金额:[XXXX 万]
报告日期:[YYYY-MM-DD]
═══════════════════════════════════════

【核心结论】
投资建议:[✅ 推荐 / ⚠️ 慎重 / ❌ 不建议]
NPV:[X] 万元
IRR:[X]%(门槛 [X]%)
整体风险:[✅ 低 / ⚠️ 中 / 🔴 高]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

【一、项目概述】
□ 投资金额:[X] 万元
□ 建设期:[X] 个月
□ 运营期:[X] 年
□ 预期 IRR:[X]%

【二、估值结果】
□ NPV:[X] 万元 — [✅ >0 / ❌ <0]
□ IRR:[X]% — [✅ 达标 / ❌ 未达标]
□ 回收期:[X] 年

【三、敏感性分析】
□ 悲观情景 NPV:[X] 万元 — [✅ >0 / ❌ <0]
□ 关键风险变量:[变量名]

【四、战略价值评估】(如适用)
□ 实物期权价值:[X] 万元
□ 调整后项目价值:[X] 万元

【五、审批建议】
□ 建议审批层级:[CFO / IC / 董事会]
□ 须关注事项:[...]
□ 建议条件(如通过):[...]

═══════════════════════════════════════
编制人:[财务经理]
审核人:[CFO]
═══════════════════════════════════════

Read the full file on GitHub · 213 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 · 213 lines · 133 tokens per session scan A 2898de2f8869

Subscribe to this mod's changes

project-valuation-master is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 133 tokens to every session and 1,797 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

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

fred-economic-data

Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring…

foryourhealth111-pixel/Vibe-Skills · 75 tokens