product-economics

product-economics is a skill for Claude Code from avelikiy/great_cto. It costs 55 tokens per session (1,536 once invoked), scanned A, original, MIT.

A product-economics review that examines whether a product can make money at a price customers may pay. It calculates contribution margin, pricing, and a bottom-up market size while labeling figures as sourced, assumed, or unknown.

In plain words
What is it for?
Use it to assess unit profitability, justify a proposed price, estimate market size from individual customer groups, and record the basis for each number.
Why use it?
It prevents guesses from being mistaken for measured results, especially after calculations combine several uncertain numbers. It also exposes products that work technically but lose money per customer.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the great-cto plugin — 40 skills, 44 commands, 70 agents shipped together

Good fit Use it to assess unit profitability, justify a proposed price, estimate market size from individual customer groups, and record the basis for each number.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/avelikiy/great_cto/product-economics
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 avelikiy/great_cto --skill product-economics
Clone the repo
git clone --depth 1 https://github.com/avelikiy/great_cto

Made for: Claude Code.

Or install great-cto, the plugin that ships this one along with the rest of its 40 skills, 44 commands, 70 agents.

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 product-economics

README.md
[![agentmods](https://agentmods.dev/badge/skills/avelikiy/great_cto/product-economics/github.svg)](https://agentmods.dev/skills/avelikiy/great_cto/product-economics)
Your own site
<a href="https://agentmods.dev/skills/avelikiy/great_cto/product-economics"><img src="https://agentmods.dev/badge/skills/avelikiy/great_cto/product-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.

agentmods 80×15 button for product-economics

Your own site · 80×15
<a href="https://agentmods.dev/skills/avelikiy/great_cto/product-economics"><img src="https://agentmods.dev/badge/skills/avelikiy/great_cto/product-economics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,536 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.01536
Opus 5 $0.00028 $0.00768
Sonnet 5 $0.00011 $0.00307
Haiku 4.5 $0.00006 $0.00154

Measured 7d ago against content hash 96104c53b9f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-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 7d 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/product-economics/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product economics

A product can pass every gate this pipeline has — architecture reviewed, tests green, security signed off, deployed — and still lose money on every user. The pipeline is silent about that, and silence reads as approval.

This is the missing question, and it is three questions:

  1. Does a unit pay for itself? (contribution margin)
  2. What is the price, and on what basis? (pricing)
  3. Are there enough units to matter? (market size, bottom-up)

The rule that makes this worth doing

Every number carries its provenance, in the notation the brief already uses — do not invent a second vocabulary for this:

  • [source: <where it was read>] — an invoice, a usage log, a competitor's published price with the date you checked it
  • [assumption] — you made it up, and saying so is the point

artifact-lint already rejects a figure carrying neither. That rule was written for the Problem section; it binds here at least as hard, because arithmetic launders provenance: an [assumption] conversion rate and a [source:] one are indistinguishable once they have been multiplied together, and the product of two guesses is presented with the same confidence as a measurement.

The third state is the one the notation has no symbol for: a number nobody knows. Do not fill that hole with a plausible figure — a plausible figure becomes [assumption], gets multiplied, and disappears into a margin. Write the line as an open question instead, and carry it into Risks & kill-criteria with the threshold that would end the project. An unknown that decides the answer is a finding, not a gap.

1. Contribution margin — per unit, per month

price per unit                              $
  − variable cost per unit                  $
      LLM tokens (in + out, at list price)  $   ← usually the largest, often forgotten
      inference / GPU seconds               $
      storage + egress attributable to one unit
      per-unit third-party fees (payments %, SMS, maps, email)
      support minutes × loaded hourly cost
= contribution margin                       $     ← this must be POSITIVE

Read the full file on GitHub · 146 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. 7d ago First seen · 146 lines · 55 tokens per session scan A 96104c53b9f3

Subscribe to this mod's changes

product-economics is a skill published in the GitHub repository avelikiy/great_cto (93 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 1,536 once invoked, about $0.0003 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 2026-09-05.

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