explicar-minha-variacao

explicar-minha-variacao is a skill for Claude Code, Codex from gethouston/houston. It costs 166 tokens per session (2,076 once invoked), scanned A, original, MIT.

A financial-analysis tool that explains why a line on an income statement changed. It compares actual results with a budget, an earlier period, or the same period last year, then connects major differences to accounting entries or transactions.

In plain words
What is it for?
Use it to investigate rising expenses, falling revenue, budget differences, and other changes in a period’s profit-and-loss statement.
Why use it?
It replaces a broad unexplained change with a short account of the main causes, such as price, sales volume, product mix, or one-time events. Unknown causes are marked as unexplained instead of guessed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

Good fit Use it to investigate rising expenses, falling revenue, budget differences, and other changes in a period’s profit-and-loss statement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gethouston/houston/explicar-minha-variacao
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 gethouston/houston --skill explicar-minha-variacao
Clone the repo
git clone --depth 1 https://github.com/gethouston/houston

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 explicar-minha-variacao

README.md
[![agentmods](https://agentmods.dev/badge/skills/gethouston/houston/explicar-minha-variacao/github.svg)](https://agentmods.dev/skills/gethouston/houston/explicar-minha-variacao)
Your own site
<a href="https://agentmods.dev/skills/gethouston/houston/explicar-minha-variacao"><img src="https://agentmods.dev/badge/skills/gethouston/houston/explicar-minha-variacao/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 explicar-minha-variacao

Your own site · 80×15
<a href="https://agentmods.dev/skills/gethouston/houston/explicar-minha-variacao"><img src="https://agentmods.dev/badge/skills/gethouston/houston/explicar-minha-variacao.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 166 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,076 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 $0.00166 $0.02076
Opus 5 $0.00083 $0.01038
Sonnet 5 $0.00033 $0.00415
Haiku 4.5 $0.00017 $0.00208

Measured 9d ago against content hash 8c51584c8797, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

explicar-minha-variacao 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 9d 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.

store/agents-i18n/pt/bookkeeping/.agents/skills/explicar-minha-variacao/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explicar Minha Variação

Realizado versus orçamento versus período anterior versus mesmo período do ano anterior. Decomponho toda linha relevante em fatores de preço / volume / mix / eventos pontuais, cada um vinculado a ids de lançamentos contábeis ou conjuntos de transações específicos. A narrativa foca nas 3 a 5 maiores movimentações para que você leia uma história, não uma planilha. O que eu não conseguir explicar, eu rotulo como resíduo em vez de inventar uma causa.

Quando usar

  • "por que as despesas operacionais subiram em março" / "o que causou a queda na receita".
  • "compare o realizado com o orçamento de {período}".
  • "rode a análise de variação de {período}".
  • Chamado por close-my-month depois que prepare-my-financials statement=pnl gravar a DRE do período atual.

Conexões que preciso

Executo trabalho externo pelo Composio. Antes desta habilidade rodar, verifico se as categorias abaixo estão conectadas. Se faltar, eu nomeio a categoria, peço para você conectar na aba Integrações, e paro.

  • Nenhuma conexão externa necessária. Eu trabalho inteiramente a partir dos seus lançamentos contábeis existentes, das DREs e do arquivo de orçamento.

Esta habilidade nunca bloqueia por falta de conexão.

Informações que preciso

Eu leio o seu contexto contábil primeiro. Para todo campo obrigatório que estiver faltando, faço UMA pergunta em linguagem simples (melhor modalidade: aplicativo conectado > envio de arquivo > URL > colar) e espero.

  • O período a analisar, obrigatório. Motivo: define a janela do realizado e quais períodos anteriores usar na comparação. Se faltar, pergunto: "Em qual período vamos rodar a variação, por exemplo março de 2025 ou Q1 de 2025?"
  • Uma DRE finalizada para o período, obrigatório. Motivo: a variação compara as linhas da DRE deste período contra as bases. Se faltar, pergunto: "Já fechamos e geramos a DRE desse período? Se não, vamos rodar isso primeiro."
  • Um plano de contas, obrigatório. Motivo: agrupo as variações por linha de código de conta e seção da demonstração a partir do seu plano de contas. Se faltar, pergunto: "Já temos um plano de contas? Se não, vamos elaborar um primeiro."
  • Um orçamento atual, opcional. Motivo: permite rodar realizado versus orçamento junto com realizado versus período anterior. Se você não tiver um, eu continuo e anoto "sem orçamento registrado" no relatório.
  • Pelo menos uma DRE anterior (mês passado ou mesmo mês do ano passado), opcional mas fortemente preferível. Motivo: me dá uma base de comparação. Se você não tiver uma, eu reporto apenas o realizado e sinalizo que ainda não há nada para comparar.

Read the full file on GitHub · 86 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. 9d ago First seen · 86 lines · 166 tokens per session scan A 8c51584c8797

Subscribe to this mod's changes

explicar-minha-variacao is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 166 tokens to every session and 2,076 once invoked, about $0.0008 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 2026-09-03.

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