creating-financial-models

creating-financial-models is a skill for Claude Code, Codex from mattmre/EVOKORE-MCP-PUBLIC. It costs 32 tokens per session (992 once invoked), scanned A, a copy of creating-financial-models, MIT.

A financial analysis toolkit for valuing investments and testing possible outcomes. It includes discounted cash flow analysis, which estimates value from expected future cash, plus sensitivity, scenario, and probability-based tests.

In plain words
What is it for?
Use it to build valuation models, compare best-, base-, and worst-case outcomes, test important assumptions, and estimate the likelihood of reaching targets.
Why use it?
It helps replace one fixed forecast with a view of how assumptions and uncertainty affect an investment decision.

Skill for Claude CodeCodex

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

Good fit Use it to build valuation models, compare best-, base-, and worst-case outcomes, test important assumptions, and estimate the likelihood of reaching targets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mattmre/evokore-mcp-public/creating-financial-models
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 mattmre/EVOKORE-MCP-PUBLIC --skill creating-financial-models
Clone the repo
git clone --depth 1 https://github.com/mattmre/EVOKORE-MCP-PUBLIC

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 creating-financial-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/creating-financial-models/github.svg)](https://agentmods.dev/skills/mattmre/evokore-mcp-public/creating-financial-models)
Your own site
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/creating-financial-models"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/creating-financial-models/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 creating-financial-models

Your own site · 80×15
<a href="https://agentmods.dev/skills/mattmre/evokore-mcp-public/creating-financial-models"><img src="https://agentmods.dev/badge/skills/mattmre/evokore-mcp-public/creating-financial-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 992 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 100% copy Near-identical to another mod 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 $0.00032 $0.00992
Opus 5 $0.00016 $0.00496
Sonnet 5 $0.00006 $0.00198
Haiku 4.5 $0.00003 $0.00099

Measured 11d ago against content hash c6fd5ad7cb6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

creating-financial-models 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 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (dcf_model.py, sensitivity_analysis.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

This is a copy

100% identical to creating-financial-models — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

SKILLS/ANTHROPIC COOKBOOK/skills/custom_skills/creating-financial-models/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial Modeling Suite

A comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies.

Core Capabilities

1. Discounted Cash Flow (DCF) Analysis

  • Build complete DCF models with multiple growth scenarios
  • Calculate terminal values using perpetuity growth and exit multiple methods
  • Determine weighted average cost of capital (WACC)
  • Generate enterprise and equity valuations

2. Sensitivity Analysis

  • Test key assumptions impact on valuation
  • Create data tables for multiple variables
  • Generate tornado charts for sensitivity ranking
  • Identify critical value drivers

3. Monte Carlo Simulation

  • Run thousands of scenarios with probability distributions
  • Model uncertainty in key inputs
  • Generate confidence intervals for valuations
  • Calculate probability of achieving targets

4. Scenario Planning

  • Build best/base/worst case scenarios
  • Model different economic environments
  • Test strategic alternatives
  • Compare outcome probabilities

Input Requirements

For DCF Analysis

  • Historical financial statements (3-5 years)
  • Revenue growth assumptions
  • Operating margin projections
  • Capital expenditure forecasts
  • Working capital requirements
  • Terminal growth rate or exit multiple
  • Discount rate components (risk-free rate, beta, market premium)

For Sensitivity Analysis

  • Base case model
  • Variable ranges to test
  • Key metrics to track

For Monte Carlo Simulation

  • Probability distributions for uncertain variables
  • Correlation assumptions between variables
  • Number of iterations (typically 1,000-10,000)

For Scenario Planning

  • Scenario definitions and assumptions
  • Probability weights for scenarios
  • Key performance indicators to track

Output Formats

DCF Model Output

  • Complete financial projections
  • Free cash flow calculations
  • Terminal value computation
  • Enterprise and equity value summary
  • Valuation multiples implied
  • Excel workbook with full model

Read the full file on GitHub · 174 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 174 lines · 32 tokens per session scan A c6fd5ad7cb6d

Subscribe to this mod's changes

creating-financial-models is a skill published in the GitHub repository mattmre/EVOKORE-MCP-PUBLIC (3 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 992 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to creating-financial-models, differing in 0 lines, and is treated as a copy.