unit-economics-analysis

unit-economics-analysis is a skill for Claude Code, Codex from gokulb20/crewm8-cfo-skills. It costs 82 tokens per session (2,970 once invoked), scanned A, original, MIT.

A business analysis of how much it costs to gain a customer, how much that customer earns, and how long it takes to recover the cost. It compares profitability across customer groups, marketing sources, and time-based cohorts.

In plain words
What is it for?
Use it to calculate CAC, LTV, payback period, contribution margin, and profitability by segment or cohort. It needs revenue, costs, marketing spend, and customer acquisition data.
Why use it?
Overall averages can hide unprofitable customer groups. This analysis shows where customers generate profit and where spending or customer strategy may need to change.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; built for openclaw.

Good fit Use it to calculate CAC, LTV, payback period, contribution margin, and profitability by segment or cohort. It needs revenue, costs, marketing spend, and customer acquisition data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gokulb20/crewm8-cfo-skills/unit-economics-analysis
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 gokulb20/crewm8-cfo-skills --skill unit-economics-analysis
Clone the repo
git clone --depth 1 https://github.com/gokulb20/crewm8-cfo-skills

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 unit-economics-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/gokulb20/crewm8-cfo-skills/unit-economics-analysis/github.svg)](https://agentmods.dev/skills/gokulb20/crewm8-cfo-skills/unit-economics-analysis)
Your own site
<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.

agentmods 80×15 button for unit-economics-analysis

Your own site · 80×15
<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>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,970 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 $0.00082 $0.02970
Opus 5 $0.00041 $0.01485
Sonnet 5 $0.00016 $0.00594
Haiku 4.5 $0.00008 $0.00297

Measured 12d ago against content hash a6cbf8ae3a18, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/financial-planning-analysis/unit-economics-analysis/SKILL.md · 223 lines

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

  1. Revenue by customer by month — for ARPU and churn calculations.
  2. COGS by customer or segment — for gross margin.
  3. S&M spend by channel and segment — for CAC.
  4. 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

Read the full file on GitHub · 223 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. 12d ago First seen · 223 lines · 82 tokens per session scan A a6cbf8ae3a18

Subscribe to this mod's changes

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.

Related

Other skills, from other repositories

afrexai-startup-metrics-engine

Complete startup metrics command center — from raw data to investor-ready dashboards. Covers every stage (pre-seed to Series B+), every model (SaaS, marketplace, consumer, hardware), with diagnostic frameworks, benchmark databases, and board-ready reporting.

LeoYeAI/openclaw-master-skills · 61 tokens

revenue-report

Produce revenue analysis, forecasting, and unit-economics reports using the the backend economist 4-metric scorecard (RPL, cohort LTV, LTV:CAC by source, contribution margin per call) and the the operations director 60/30/10 revenue mix discipline. Produces weekly, monthly, and quarterly reports with cohort analysis…

Heuresis/Growth-Operator-Agency · 104 tokens

cfo-expert

Turn Claude into a seasoned CFO and accounting expert fluent in US GAAP, financial modeling, tax strategy, and corporate finance. Use this skill whenever the user asks about financial statements, accounting entries, bookkeeping, revenue recognition, budgeting, forecasting, cash flow analysis, financial ratios, tax…

j9o/cfo-expert · 185 tokens

html-ppt-zhangzara-bold-poster

OpenDesign's Series A growth story: the traction curve, the expansion motion, and why it's venture-scale. Built as a decision-grade fundraising pitch deck for Series A partners.

nexu-io/open-design · 47 tokens

tax-calculator

Calculate tax implications of trades and generate tax reports.

Signal-Execution-Labs/forex-trading-ai-agent · 13 tokens

financial-model

Use when a founder needs the driver-based 18–36 month projection: revenue, cost and headcount builds resolving to net burn, runway, cash-out date, scenarios and the raise size. NOT the 13-week bank-reconciled cash view (that is finance-ops), NOT single-series forecasting (that is forecasting), NOT running the round…

ericrisco/rsc-harness · 85 tokens