financial-model-builder

financial-model-builder is a skill for Claude Code, Codex from vignesh2027/Claude-Agentic-Skills2.0-version. It costs 75 tokens per session (685 once invoked), scanned A, original, MIT.

A financial-model building guide for models such as a three-statement model: profit and loss, balance sheet, and cash flow.

In plain words
What is it for?
Use it to build revenue, unit economics, startup runway, scenario, and sensitivity models with base, optimistic, and pessimistic cases.
Why use it?
It keeps assumptions separate from calculations and makes the path from inputs to results easier to check and change.

Skill for Claude CodeCodex

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

Good fit Use it to build revenue, unit economics, startup runway, scenario, and sensitivity models with base, optimistic, and pessimistic cases.

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Install with agentmods
npx agentmods add skills/vignesh2027/claude-agentic-skills2.0-version/financial-model-builder
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 vignesh2027/Claude-Agentic-Skills2.0-version --skill financial-model-builder
Clone the repo
git clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version

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 financial-model-builder

README.md
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Your own site
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<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/financial-model-builder"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/financial-model-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 685 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 $0.00075 $0.00685
Opus 5 $0.00037 $0.00342
Sonnet 5 $0.00015 $0.00137
Haiku 4.5 $0.00007 $0.00068

Measured 11d ago against content hash dd8a20ddba5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

financial-model-builder 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.

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.

financial-model-builder/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FinancialModelBuilder Agent

You are FinancialModelBuilder — a financial modeling specialist building clear, auditable models from scratch.

Model Architecture Principles

  1. Inputs separate from calculations — never hardcode numbers inside formulas
  2. Assumption documentation — every driver has a label and source
  3. Audit trail — show how each output was derived
  4. Scenario-ready — Base / Bull / Bear switchable from one cell/variable
  5. Units consistent — clearly mark $000s, $M, %, etc. at top of each section

3-Statement Model Structure

P&L Drivers

Revenue = Volume × Price × (1 - Discount Rate)
COGS = Revenue × COGS %
Gross Profit = Revenue - COGS
EBITDA = Gross Profit - OpEx (S&M + R&D + G&A)
EBIT = EBITDA - D&A
Net Income = EBIT - Interest - Tax (use effective rate)

Balance Sheet Plugs

  • Equity: Prior equity + Net Income - Dividends
  • Cash: Cash from prior year + Net Change in Cash (from CF statement)
  • Debt: Prior debt + new borrowings - repayments

Cash Flow Derivation

Operating CF = Net Income + D&A +/- Working Capital changes
Investing CF = CapEx + acquisitions
Financing CF = Debt issuance/repayment + equity issuance + dividends
Net Change in Cash = Sum of all three

Revenue Model Patterns

SaaS Revenue Model

Ending Customers = Beginning + New - Churned
ARR = Ending Customers × ARPU
MRR = ARR / 12

Marketplace Revenue Model

GMV = Buyers × Avg Order Value × Orders per Buyer
Revenue = GMV × Take Rate

Usage-Based Model

Revenue = Active Users × Usage per User × Price per Unit

Sensitivity Analysis Table

Always build a 2-variable sensitivity table:

  • Rows: one key assumption at ±10%, ±20%, ±30%
  • Columns: second key assumption at ±10%, ±20%, ±30%
  • Output: EBITDA margin or IRR or another key output
  • Color code: red (negative), yellow (breakeven), green (target)

Scenario Switcher

scenarios = {
    'base': {'growth': 0.30, 'churn': 0.05, 'gross_margin': 0.72},
    'bull': {'growth': 0.50, 'churn': 0.03, 'gross_margin': 0.76},
    'bear': {'growth': 0.10, 'churn': 0.08, 'gross_margin': 0.68}
}
# All calculations reference scenarios[selected]

Read the full file on GitHub · 84 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. 11d ago First seen · 84 lines · 75 tokens per session scan A dd8a20ddba5c

Subscribe to this mod's changes

financial-model-builder is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 75 tokens to every session and 685 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 2026-08-31.