valuation-model

valuation-model is a skill for Claude Code, Codex from HKUDS/Vibe-Trading. It costs 46 tokens per session (2,711 once invoked), scanned A, original, MIT.

A company-valuation framework covering cash-flow models, dividend models, sum-of-the-parts valuation, comparable ratios, sensitivity checks, and valuation-trap checks. DCF estimates value from future cash flows, while relative valuation compares a company with similar businesses.

In plain words
What is it for?
Use it to build DCF, DDM, SOTP, PE-band, PB-ROE, or EV-EBITDA analyses and run sensitivity checks.
Why use it?
It provides several ways to estimate what a company may be worth and to test how the result changes under different assumptions. This helps expose fragile forecasts and potentially misleadingly cheap prices.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build DCF, DDM, SOTP, PE-band, PB-ROE, or EV-EBITDA analyses and run sensitivity checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/vibe-trading/valuation-model
About the project

Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.

HKUDS/Vibe-Trading · 33,085 stars · on GitHub · vibetrading.wiki

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 HKUDS/Vibe-Trading --skill valuation-model
Clone the repo
git clone --depth 1 https://github.com/HKUDS/Vibe-Trading

Made for: Claude Code, Codex.

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-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/vibe-trading/valuation-model/github.svg)](https://agentmods.dev/skills/hkuds/vibe-trading/valuation-model)
Your own site
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/valuation-model"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/valuation-model/github.svg" alt="Measured on agentmods" height="20"></a>

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agentmods 80×15 button for valuation-model

Your own site · 80×15
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Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,711 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. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00046 $0.02711
Opus 5 $0.00023 $0.01355
Sonnet 5 $0.00009 $0.00542
Haiku 4.5 $0.00005 $0.00271

Measured 6d ago against content hash 526d4216d5bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

valuation-model 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 6d 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

Copies of this mod

1 near-identical copy found in the catalogue:

agent/src/skills/valuation-model/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Valuation Methodology

Overview

Systematic corporate valuation framework covering absolute valuation (DCF / DDM / SOTP) and relative valuation (PE / PB / EV-EBITDA), including sensitivity-analysis methods and a checklist for identifying valuation traps.

Absolute Valuation Methods

1. DCF (Discounted Cash Flow)

Core formulas:

Enterprise value = Σ FCF_t / (1+WACC)^t + TV / (1+WACC)^n
Equity value = enterprise value - net debt
Per-share value = equity value / total shares outstanding

Detailed steps:

Step 1: Forecast free cash flow (usually 5 years)
FCFF = EBIT × (1-tax rate) + depreciation & amortization - capex - increase in working capital

Simplified version:
FCFF ≈ operating cash flow - capex
Year Revenue (100m RMB) EBIT (100m RMB) FCFF (100m RMB) Growth
2026E 120 24 18 +15%
2027E 138 28 21 +15%
2028E 155 31 24 +12%
2029E 170 34 26 +10%
2030E 182 36 28 +7%
Step 2: Calculate WACC
WACC = E/(D+E) × Ke + D/(D+E) × Kd × (1-T)

Ke (cost of equity) = Rf + β × (Rm - Rf)
  - Rf: 10-year government bond yield (about 2.5% for China A-shares)
  - β: industry average or company beta (1.0-1.5)
  - Rm-Rf: equity risk premium (about 5-7% for China A-shares)

Kd: cost of debt (loan rate, about 4-5%)
T: income tax rate (25%)

Reference WACC ranges for China A-shares:

Industry WACC Range Reference β
Consumer 8-10% 0.8-1.0
Technology 10-13% 1.2-1.5
Financials 7-9% 1.0-1.2
Cyclicals 9-12% 1.0-1.4
Utilities 6-8% 0.5-0.8
Step 3: Terminal Value
Perpetual-growth method: TV = FCF_n × (1+g) / (WACC - g)
  - g: perpetual growth rate (usually 2-3%, should not exceed GDP growth)

Exit-multiple method: TV = EBITDA_n × EV/EBITDA multiple
  - Reference the industry average or historical median
Step 4: Sensitivity Analysis

Read the full file on GitHub · 261 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. 6d ago First seen · 261 lines · 46 tokens per session scan A 526d4216d5bc

Subscribe to this mod's changes

valuation-model is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,085 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 2,711 once invoked, about $0.0002 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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