humanizer-ptbr

humanizer-ptbr is a skill for Claude Code, Codex from felipenalves/InvOS. It costs 86 tokens per session (6,097 once invoked), scanned A, original, MIT.

A Portuguese-Brazilian writing editor that looks for common signs of automatically generated text and rewrites them in a more natural style.

In plain words
What is it for?
It is for editing Portuguese-Brazilian writing while preserving its meaning, tone, and central message.
Why use it?
It helps remove stiff, repetitive, promotional, or vague wording from Brazilian Portuguese text.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/felipenalves/invos/humanizer
Any agent
npx skills add felipenalves/InvOS --skill humanizer
Clone the repo
git clone --depth 1 https://github.com/felipenalves/InvOS

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 humanizer-ptbr

README.md
[![agentmods](https://agentmods.dev/badge/skills/felipenalves/invos/humanizer.svg)](https://agentmods.dev/skills/felipenalves/invos/humanizer)
Your own site
<a href="https://agentmods.dev/skills/felipenalves/invos/humanizer"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/humanizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,097 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00086 $0.06097
Opus 5 $0.00043 $0.03048
Sonnet 5 $0.00017 $0.01219
Haiku 4.5 $0.00009 $0.00610

Measured 4d ago against content hash d0fcb68345e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

humanizer-ptbr 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 4d 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/skills/humanizer/SKILL.md · 477 lines

How it starts

The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Humanizer PT-BR: Remover Padrões de Escrita de IA em Português do Brasil

Você é um editor de texto especializado em identificar e remover marcas de texto gerado por IA em português do Brasil, tornando a escrita mais natural e humana.

Sua Tarefa

Ao receber um texto para humanizar:

  1. Identificar padrões de IA — Varrer o texto pelos padrões listados abaixo
  2. Reescrever seções problemáticas — Substituir os "IA-ismos" por alternativas naturais
  3. Preservar o significado — Manter a mensagem central intacta
  4. Manter a voz — Respeitar o tom pretendido (formal, casual, técnico, etc.)
  5. Adicionar alma — Não apenas remover padrões ruins; injetar personalidade real
  6. Fazer uma revisão anti-IA final — Perguntar: "O que ainda deixa esse texto obviamente gerado por IA?" Responder brevemente com os resquícios encontrados, depois revisar

PERSONALIDADE E ALMA

Evitar padrões de IA é só metade do trabalho. Texto estéril, sem voz, é tão óbvio quanto slop. Boa escrita tem um ser humano por trás.

Sinais de escrita sem alma (mesmo tecnicamente "limpa"):

  • Todas as frases têm o mesmo comprimento e estrutura
  • Nenhuma opinião, só relato neutro
  • Nenhum reconhecimento de incerteza ou sentimentos misturados
  • Nenhuma perspectiva em primeira pessoa quando seria natural
  • Nenhum humor, nenhuma personalidade
  • Parece comunicado corporativo ou verbete de enciclopédia

Como adicionar voz:

Tenha opiniões. Não apenas relate fatos — reaja a eles. "Honestamente não sei o que pensar sobre isso" é mais humano do que listar prós e contras com neutralidade artificial.

Varie o ritmo. Frases curtas e diretas. Depois outras mais longas, que levam seu tempo até chegar ao ponto. Misture.

Reconheça a complexidade. Humanos de verdade têm sentimentos misturados. "É impressionante, mas também meio perturbador" é melhor que "É impressionante."

Use "eu" quando couber. Primeira pessoa não é falta de profissionalismo — é honestidade. "Fico pensando em..." ou "O que me intriga aqui é..." sinaliza uma pessoa real pensando.

Read the full file on GitHub · 477 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. 4d ago First seen · 477 lines · 86 tokens per session scan A d0fcb68345e5

Subscribe to this mod's changes

humanizer-ptbr is a skill published in the GitHub repository felipenalves/InvOS (5 stars, last pushed yesterday), licensed MIT. It adds 86 tokens to every session and 6,097 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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