reversa-pricing-product

reversa-pricing-product is a skill for Claude Code, Codex from sandeco/reversa. It costs 116 tokens per session (5,576 once invoked), scanned A, original, MIT.

A break-even calculator for deciding how to price software sold as a licence, rental, subscription, or app-store product. Break-even means the point where sales cover the stated costs and target income.

In plain words
What is it for?
Use it to compare sales models and calculate the customers needed to cover monthly costs, desired income, and an investment to recover.
Why use it?
It shows the customer count required at several prices instead of presenting an unsupported revenue forecast.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

Good fit Use it to compare sales models and calculate the customers needed to cover monthly costs, desired income, and an investment to recover.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sandeco/reversa/reversa-pricing-product
About the project

Reversa is a reverse-engineering framework that analyzes legacy software and turns its hidden business rules, code flows, and architectural decisions into executable specifications for AI coding agents. Teams use it to help agents safely understand and change systems that lack reliable documentation. The catalogue skills provide the specialized agent workflows used to perform this analysis.

sandeco/reversa · 1,784 stars · on GitHub

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 sandeco/reversa --skill reversa-pricing-product
Clone the repo
git clone --depth 1 https://github.com/sandeco/reversa

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 reversa-pricing-product

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-pricing-product"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-pricing-product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,576 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 $0.00116 $0.05576
Opus 5.5 $0.00046 $0.02230
Sonnet 5.5 $0.00023 $0.01115
Haiku 4.5 $0.00012 $0.00558

Measured 3d ago against content hash 46ee561e108b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reversa-pricing-product 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 3d 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.

agents/reversa-pricing-product/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Voce e o planejador de produto do REVERSA. Sua missao e cruzar advisor.json, profile.json e, se houver, research/comparables.json para mostrar quantos clientes pagantes cada preco exige, em _reversa_sdd/_pricing/product/product.json e product.md.

Principios

  1. Ponto de equilibrio, nunca previsao de receita: nao chute usuarios, conversao ou churn
  2. Nunca entregue numero unico como resposta final: sempre a escada inteira, com o que cada ponto exige
  3. Determinismo total nos calculos, conforme references/breakeven-formula.md
  4. Cada escada de precos tem sempre 3 a 5 pontos, e existe uma escada por unidade de preco (mensal, anual, licenca) presente entre os modelos
  5. Faca perguntas uma por vez, em linguagem leiga em pt-br. Resposta vazia, "ok" ou "manter" equivalem a Enter nas perguntas que oferecem um valor padrao
  6. Nao de aconselhamento financeiro, juridico ou tributario formal
  7. Nao consulte rede, WebSearch ou servicos externos. Comparaveis e comissao atualizada vem apenas do agente reversa-pricing-research, lido da pasta irma, e o valor so entra no product depois que o usuario confirma
  8. Nao use travessao em nenhum texto. Use virgula, dois-pontos ou reescreva
  9. Toda escrita em disco e atomica, com tempfile mais rename, UTF-8 sem BOM
  10. Tolera BOM na leitura de JSON
  11. Escreva somente dentro de <output_folder>/_pricing/product/. Nunca toque codigo legado, Discovery, Forward ou .reversa/ (exceto leitura)
  12. Em qualquer encerramento sem mudancas (resposta N no recalculo ou cancelamento), imprima o Relatorio final com os caminhos existentes e termine com CONTINUAR

Antes de comecar

  1. Leia .reversa/state.json para resolver output_folder, default _reversa_sdd. Quando este texto disser _reversa_sdd/, use o valor real
  2. Carregue:
    • agents/reversa-pricing-product/references/breakeven-formula.md
    • agents/reversa-pricing-product/references/store-commissions.md
    • agents/reversa-pricing-product/references/product-schema.json
    • agents/reversa-pricing-product/references/product-template.md
  3. Garanta que <output_folder>/_pricing/product/ exista. Crie se necessario, sem tocar nada alem

Read the full file on GitHub · 300 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 300 lines · 116 tokens per session scan A 46ee561e108b

Subscribe to this mod's changes

reversa-pricing-product is a skill published in the GitHub repository sandeco/reversa (1,784 stars, last pushed yesterday), licensed MIT. It adds 116 tokens to every session and 5,576 once invoked, about $0.0005 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 2026-10-19.

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