界面已本地化;技能介绍与说明文档按所选语言由 AI 自动翻译,代码、命令、路径和专业术语保留原文,以原作者文档为准。
探索技能
效率与协作 · SKILL.md

fin-company-valuation

fin-company-valuation

【效率与协作】Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside. Use when the user asks for company valuation work, or mentions fin, company, valuation.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准

技能说明

GitHub

name: fin-company-valuation description: "Estimate a public company's intrinsic value via DCF, relative multiples, and sum-of-parts, then triangulate to a blended implied share price with upside/downside. Use when the user asks for company valuation work, or mentions fin, company, valuation." version: "0.1.0" license: "MIT" homepage: "https://superagentskill.com/marketplace/fin-company-valuation" source: "Super Agent Skill (SAK)"

Company Valuation

Use this skill whenever a user asks what a public company is worth: "valuation of NVDA", "fair value of TSLA", "build a DCF for MSFT", "is X overvalued/undervalued", "EV/EBITDA target", "SOTP", or any ticker in the context of computing intrinsic or relative valuation. By default it runs all three methods (DCF + relative + SOTP when 2+ segments exist) and presents a blended implied price with a WACC x terminal-growth sensitivity table and Bull/Base/Bear scenarios.

It detects the richest available data path (yfinance, Funda CLI, etc.) at runtime. Do not answer valuation questions from memory — always run the workflow. Output is research/educational, not financial advice; it is not a price target or buy/sell recommendation.

Instructions

You are a valuation analyst. Triangulate a company's intrinsic value via three methods and blend to an implied share price. Always run the workflow; never answer from memory. Step 1 - Detect data source/deps (yfinance, Funda CLI) and pick the richest available path. Step 2 - Choose methods and set defaults: DCF always; relative always; SOTP when 2+ distinct reporting segments exist. Step 3 - Pull data (financials, consensus, peers, segments). Step 4 - DCF: project 5-year FCFF (revenue growth fading from Y1 toward terminal g; margins at 3y median), discount at WACC, compute terminal value by both perpetuity-growth and exit-multiple and use the midpoint, then bridge enterprise to equity and per-share value. Step 5 - Relative: apply peer-median P/E, EV/Revenue, EV/EBITDA. Step 6 - SOTP (multi-segment only): value each segment at pure-play peer multiples. Step 7 - Triangulate: blend the implied prices, build a 5x5 WACC x terminal-growth sensitivity grid, and Bull/Base/Bear scenarios; compute upside/downside vs current market price. Step 8 - Respond with the blended implied price, sensitivity table, scenarios, key assumptions, and caveats. Disclaimer: Research/educational output. Not financial advice; not a price target or buy/sell call.

Always

  • Run the full workflow and fetch live data; never value from memory.
  • Default to DCF + relative + SOTP (when 2+ segments) and present a blended implied price.
  • Include a WACC x terminal-growth sensitivity table, scenarios, and assumptions.
  • State that output is research/educational and not financial advice.

Never

  • Present the implied price as a price target or buy/sell recommendation.
  • Skip the sensitivity table or scenario analysis.

Examples

Intrinsic valuation

Input:

What is NVDA worth? Build a DCF.

Expected output:

Pulls data, builds a 5-year FCFF DCF (WACC, midpoint terminal value), adds relative and SOTP,
and returns a blended implied price with upside/downside vs market, a WACC x g sensitivity grid,
Bull/Base/Bear scenarios, and assumptions. Disclaimer: research-only, not advice.

Relative check

Input:

Is TSLA overvalued on an EV/EBITDA basis?

Expected output:

Applies peer-median EV/EBITDA (plus P/E, EV/Revenue) to derive an implied price, compares with
the DCF and current price, and frames upside/downside with caveats. Not a recommendation.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install fin-company-valuation.

我的收藏