humanize

humanize is a skill for Claude Code, Codex from tushaarmehtaa/tushar-skills. It costs 39 tokens per session (1,054 once invoked), scanned A, original, MIT.

An editing skill for making prose sound more like its author while keeping its meaning, facts, uncertainty, format, and tone. It can either revise text or identify patterns that make writing seem generic or machine-made.

In plain words
What is it for?
Use it to edit or assess emails, documentation, articles, outreach, and other prose when the main issue is voice or AI-like phrasing.
Why use it?
It helps remove repetitive or synthetic wording without replacing the author's voice with a new style. It also keeps this task separate from rewriting content or changing an article's argument.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to edit or assess emails, documentation, articles, outreach, and other prose when the main issue is voice or AI-like phrasing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tushaarmehtaa/tushar-skills/humanize
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 tushaarmehtaa/tushar-skills --skill humanize
Clone the repo
git clone --depth 1 https://github.com/tushaarmehtaa/tushar-skills

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 humanize

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tushaarmehtaa/tushar-skills/humanize"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/humanize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,054 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 $0.00039 $0.01054
Opus 5.5 $0.00016 $0.00422
Sonnet 5.5 $0.00008 $0.00211
Haiku 4.5 $0.00004 $0.00105

Measured 1mo ago against content hash 4c31cf3518a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

humanize 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 1mo 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.

humanize/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Humanize

Make prose sound like its author writing clearly, not like a different fashionable voice. Remove generic model habits only when the text supplies evidence for the edit. Preserve facts, calibrated uncertainty, technical terms, personality, and the register required by the format.

Keep the boundary clear

Use this skill for voice preservation and synthetic-writing patterns.

  • Use landing-copy, cold-outreach, readme, or ui-copy when the primary job is creating or correcting that format's substance.
  • Use remove-ai-slop for rendered interface patterns and cross-route design convergence.
  • Use an article-development workflow when the argument, reporting, or structure needs major editorial work before a prose pass.

A request to “humanize,” “de-slop,” preserve voice, or detect AI-like patterns belongs here. A generic “make this better” should stay with the format-specific skill unless the evidence shows voice is the main problem.

Choose the mode

  • Edit — return revised prose while preserving the author's position and factual meaning.
  • Detect — identify checkable patterns and explain their effect without rewriting.
  • Calibrate — derive a compact voice profile from supplied samples for a later or included edit.

Infer the mode and state it briefly. Do not claim that a detector can determine who or what wrote the text, and do not output an “AI percentage.”

Establish the writing contract

Read the full draft before changing sentences. Determine:

  • audience, format, and intended reader action or belief;
  • point of view, vocabulary, cadence, humor, formality, and recurring intentional habits;
  • statements that carry facts, uncertainty, legal scope, attribution, or personal experience;
  • passages that already sound specific and alive.

Infer the voice from a substantial mixed-quality draft. If the text is almost entirely synthetic and the user explicitly wants their personal voice, ask for one representative sample in a single concise question. If they only want clearer prose, proceed in an appropriate neutral register and say that no personal voice sample was available.

Read the full file on GitHub · 94 lines

Files

What ships with it

3 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. 1mo ago First seen · 94 lines · 39 tokens per session scan A 4c31cf3518a8

Subscribe to this mod's changes

humanize is a skill published in the GitHub repository tushaarmehtaa/tushar-skills (12 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 1,054 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 2026-09-05.

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