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.
npx skills add mfwarren/entrepreneur-claude-skills --skill financial-modelinggit clone --depth 1 https://github.com/mfwarren/entrepreneur-claude-skillsWrote 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.
[](https://agentmods.dev/skills/mfwarren/entrepreneur-claude-skills/financial-modeling)<a href="https://agentmods.dev/skills/mfwarren/entrepreneur-claude-skills/financial-modeling"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/financial-modeling/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.
<a href="https://agentmods.dev/skills/mfwarren/entrepreneur-claude-skills/financial-modeling"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/financial-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00003 | $0.00633 |
| Opus 5.5 | $0.00001 | $0.00253 |
| Sonnet 5.5 | $0.00001 | $0.00127 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
financial-modeling 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Modeling
Revenue forecasts, expense modeling, cash flow projections, and scenario analysis.
Purpose
Build financial models that help founders make decisions — not impress investors with hockey sticks. Focus on the assumptions that matter and the scenarios that could kill the business.
Workflow
Step 1: Gather Context
- Business model and revenue streams
- Current monthly revenue and expenses (or estimates)
- Growth assumptions and drivers
- Planned hires or major expenses
- Funding status and runway needs
Step 2: Revenue Model
Build bottom-up from drivers:
- Customers x ARPU = Revenue (SaaS)
- Traffic x Conversion Rate x AOV = Revenue (e-commerce)
- Clients x Project Value x Utilization = Revenue (services)
- Units x Price = Revenue (CPG/product)
Monthly projections for 12-24 months.
Step 3: Expense Model
Categorize:
- Fixed costs (rent, salaries, SaaS tools)
- Variable costs (COGS, commissions, shipping)
- Growth investments (marketing spend, new hires)
Step 4: Cash Flow
- Revenue - Expenses = Net burn/profit
- Cash balance projection
- Runway calculation: Cash / Monthly Burn = Months of runway
Step 5: Scenario Analysis
Three scenarios:
- Base case: Realistic assumptions
- Upside case: Things go well (what changes)
- Downside case: Things go badly (what breaks)
For each: when do you run out of cash? When do you break even?
Step 6: Key Metrics Dashboard
- Monthly Recurring Revenue (MRR)
- Burn rate
- Runway
- Gross margin
- Growth rate (MoM)
Output Format
## Financial Model: [Business Name]
### Revenue Projections (12 months)
| Month | Revenue | Expenses | Net | Cash Balance |
|-------|---------|----------|-----|-------------|
### Key Assumptions
[Listed and explained]
### Scenario Analysis
| Scenario | Break-even | Runway | Key Risk |
|----------|-----------|--------|----------|
### Dashboard Metrics
[Current key metrics]
Constraints
- Always label assumptions explicitly — the model is only as good as its inputs
- Don't project beyond what's reasonable for the business stage
- Flag when the user's growth assumptions are unrealistic
- Note that this is a planning tool, not a guarantee
- Cash flow matters more than P&L for startups — always include it
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.
- 1mo ago First seen · 100 lines · 3 tokens per session scan A d925230f71a1
financial-modeling is a skill published in the GitHub repository mfwarren/entrepreneur-claude-skills (83 stars, last pushed 8mo ago), licensed MIT. It adds 3 tokens to every session and 633 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
stock-liquidity
Analyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads, volume and dollar volume (ADTV), top-of-book and options depth, square-root market impact and slippage estimates, turnover ratio, and Amihud illiquidity, rolled into a liquidity grade. Use this skill whenever the user asks about…
company-valuation
Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks…
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…
fintel-data
Query Fintel (fintel.io) institutional market data through its REST API or official MCP server. Use this skill whenever the user mentions Fintel or asks about short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume…
earnings-recap
Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price reaction. Use this skill whenever the user asks how earnings went — beat or miss, earnings surprise, quarterly results, the…