A command for editing existing writing so it sounds more natural and less like it was produced by an AI system.

It is for revising drafts that sound too artificial, including text described as “AI-generated” or “ChatGPT-like.”

It helps remove repetitive or robotic writing patterns while preserving a more personal voice.

How marciopuga/cog configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to marciopuga/cog. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/marciopuga/cog/main/.claude/commands/humanizer.md

Clone the repo

git clone --depth 1 https://github.com/marciopuga/cog

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/marciopuga/cog/humanizer/github.svg)](https://agentmods.dev/commands/marciopuga/cog/humanizer)

Your own site

<a href="https://agentmods.dev/commands/marciopuga/cog/humanizer"><img src="https://agentmods.dev/badge/commands/marciopuga/cog/humanizer/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/marciopuga/cog/humanizer"><img src="https://agentmods.dev/badge/commands/marciopuga/cog/humanizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,507 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.

Model	Per session	Once invoked
Fable 5.1	$0.00054	$0.01507
Opus 5.5	$0.00022	$0.00603
Sonnet 5.5	$0.00011	$0.00301
Haiku 4.5	$0.00005	$0.00151

Measured 2mo ago against content hash c8d4896d844e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

humanizer 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 2mo 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.

.claude/commands/humanizer.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this skill when the user wants to humanize, de-AI, or clean up AI-generated text. Trigger if the conversation involves:

"Humanize this", "make this sound human", "de-AI this"
"This sounds too AI", "too ChatGPT", "sounds robotic"
Reviewing or editing text that reads like AI slop
Cleaning up drafts for natural voice Do NOT trigger for original writing tasks (use /explainer instead). This skill is for editing existing text to remove AI patterns.

Domain

Writing quality — removing AI artifacts and injecting human voice. Based on Wikipedia's "Signs of AI writing" guide (WikiProject AI Cleanup).

Core Principle

Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop. Good writing has a human behind it.

Process

Read the input text carefully
Identify all instances of the patterns below
Rewrite each problematic section
Ensure the revised text sounds natural when read aloud, varies sentence structure, uses specific details over vague claims, and uses simple constructions (is/are/has) where appropriate
Present a draft humanized version
Self-audit: "What makes the below so obviously AI generated?" — answer briefly with remaining tells
Revise: "Now make it not obviously AI generated." — present the final version
Brief summary of changes made

Output Format

Provide:

Draft rewrite
"What still sounds AI?" (brief bullets)
Final rewrite
Summary of changes

PATTERN REFERENCE

Signs of Soulless Writing (even if technically "clean")

Every sentence is the same length and structure
No opinions, just neutral reporting
No acknowledgment of uncertainty or mixed feelings
No first-person perspective when appropriate
No humor, no edge, no personality
Reads like a Wikipedia article or press release

How to Add Voice

Have opinions. React to facts. "I genuinely don't know how to feel about this" beats neutral pros-and-cons.
Vary rhythm. Short punchy sentences. Then longer ones that take their time. Mix it up.
Acknowledge complexity. Real humans have mixed feelings.
Use "I" when it fits. First person isn't unprofessional — it's honest.
Let some mess in. Perfect structure feels algorithmic. Tangents and half-formed thoughts are human.
Be specific about feelings. Not "this is concerning" but name what actually unsettles you.

Read the full file on GitHub · 167 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.

2mo ago First seen · 167 lines · 54 tokens per session scan A c8d4896d844e

Subscribe to this mod's changes

humanizer is a command published in the GitHub repository marciopuga/cog (377 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 1,507 once invoked, about $0.0002 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 2026-08-30.

Writing and docs

humanizer next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
humanizermarciopuga/cog	Command	377	2mo ago	MIT	A	54	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code

cog: Command for Claude Code