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 unit-economicsgit 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/unit-economics)<a href="https://agentmods.dev/skills/mfwarren/entrepreneur-claude-skills/unit-economics"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/unit-economics/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/unit-economics"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/unit-economics.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 | $0.00004 | $0.01251 |
| Opus 5.5 | $0.00002 | $0.00500 |
| Sonnet 5.5 | $0.00001 | $0.00250 |
| Haiku 4.5 | $0.00000 | $0.00125 |
Grade A, and why
unit-economics 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unit Economics
Calculate and analyze CAC, LTV, payback period, contribution margin, and break-even for any business model. Turn raw numbers into decisions.
Purpose
Unit economics tell you whether your business model actually works — not in theory, but per customer, per transaction. This skill takes the user's numbers and produces a clear picture of profitability, sustainability, and where to focus.
Workflow
Step 1: Identify Business Model
Ask the user:
- Model type: SaaS, e-commerce, marketplace, services, CPG, other
- Revenue model: Subscription, one-time purchase, usage-based, hybrid
- Current stage: Pre-revenue, early, growth, mature
Step 2: Gather the Numbers
Based on model type, collect:
For SaaS / Subscription:
- Monthly revenue per customer (ARPU)
- Monthly churn rate (%)
- Customer acquisition cost (CAC) — or marketing spend + sales spend / new customers
- Gross margin (%)
For E-commerce / CPG:
- Average order value (AOV)
- Purchase frequency (orders per year)
- Cost of goods sold (COGS) per unit
- Customer acquisition cost
- Repeat purchase rate
For Services:
- Average contract value
- Gross margin on delivery
- Sales cycle length
- Customer acquisition cost
- Retention / renewal rate
If the user doesn't have exact numbers, help them estimate from what they do know.
Step 3: Calculate Core Metrics
Customer Acquisition Cost (CAC)
CAC = Total Sales & Marketing Spend / New Customers Acquired
Lifetime Value (LTV)
- SaaS:
LTV = ARPU x Gross Margin / Monthly Churn Rate - E-commerce:
LTV = AOV x Purchase Frequency x Avg Customer Lifespan x Gross Margin - Services:
LTV = Avg Contract Value x Gross Margin x Avg Renewals
LTV:CAC Ratio
LTV:CAC = LTV / CAC
- Below 1:1 = Losing money on every customer
- 1:1 to 3:1 = Unsustainable or early stage
- 3:1 to 5:1 = Healthy
- Above 5:1 = Under-investing in growth (or CAC will rise)
Payback Period
Payback Period = CAC / (ARPU x Gross Margin)
- Under 6 months = excellent
- 6-12 months = healthy
- 12-18 months = needs monitoring
- 18+ months = cash flow problem
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 · 167 lines · 4 tokens per session scan A 4159aeb76196
unit-economics is a skill published in the GitHub repository mfwarren/entrepreneur-claude-skills (83 stars, last pushed 8mo ago), licensed MIT. It adds 4 tokens to every session and 1,251 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.
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