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 gokulb20/crewm8-cfo-skills --skill unit-economics-analysisgit clone --depth 1 https://github.com/gokulb20/crewm8-cfo-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/gokulb20/crewm8-cfo-skills/unit-economics-analysis)<a href="https://agentmods.dev/skills/gokulb20/crewm8-cfo-skills/unit-economics-analysis"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/unit-economics-analysis/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/gokulb20/crewm8-cfo-skills/unit-economics-analysis"><img src="https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/unit-economics-analysis.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 | $0.00082 | $0.02970 |
| Opus 5 | $0.00041 | $0.01485 |
| Sonnet 5 | $0.00016 | $0.00594 |
| Haiku 4.5 | $0.00008 | $0.00297 |
Grade A, and why
unit-economics-analysis 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 12d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unit Economics Analysis
Analyze the fundamental economics of the business — what it costs to acquire a customer, what that customer is worth, and how long it takes to earn back the acquisition cost. Break down by segment, channel, and cohort. Goal: understand which customers are profit-generating engines and which are destroying value.
Purpose
Blended metrics hide the truth. A 4x blended LTV/CAC ratio might look healthy, but if it's 10x for enterprise and 0.8x for SMB, the company has a ticking time bomb in one segment. This skill provides the segment-level and cohort-level analysis needed to make capital allocation decisions — where to invest more, what to fix, and what to stop doing.
When to Use
- "What's our CAC?"
- "Calculate LTV / CAC ratio"
- "Analyze payback period by segment"
- "Which customer segments are most profitable?"
- "Unit economics deep dive"
- "Are we making money on each customer?"
Inputs Required
- Revenue by customer by month — for ARPU and churn calculations.
- COGS by customer or segment — for gross margin.
- S&M spend by channel and segment — for CAC.
- Customer acquisition data — new logos by segment, source.
Quick Reference
| Metric | Formula | Target |
|---|---|---|
| CAC | Total S&M spend / New customers acquired | Varies by segment |
| LTV | (ARPU × Gross Margin %) / Monthly Churn Rate | > 3× CAC |
| LTV / CAC | LTV / CAC | > 3x healthy, < 1x existential |
| CAC Payback | CAC / (ARPU × Gross Margin %) | < 12 months good |
| NRR | (Starting ARR + Expansion − Churn − Contraction) / Starting ARR | > 100% good, > 120% excellent |
Procedure
1. Calculate Segment-Level Metrics
For each meaningful segment (industry, size, channel, geography):
CAC (Customer Acquisition Cost)
Blended CAC = Total S&M spend in period / New customers acquired in period
Fully loaded CAC = (S&M salaries + marketing spend + tools + overhead allocation) / New customers
Paid CAC = Marketing + ads spend only / New customers from paid channels
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.
- 12d ago First seen · 223 lines · 82 tokens per session scan A a6cbf8ae3a18
unit-economics-analysis is a skill published in the GitHub repository gokulb20/crewm8-cfo-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 82 tokens to every session and 2,970 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.
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