humanizer

humanizer is a skill for Claude Code, Codex from besoeasy/open-skills. It costs 25 tokens per session (2,423 once invoked), scanned B, original, MIT.

A writing skill for rewriting text that sounds machine-generated so it reads more naturally while keeping its meaning, facts, and tone.

In plain words
What is it for?
Use it to edit individual passages or batches of text when you want clearer rhythm, more specific wording, and a more human voice.
Why use it?
It removes repetitive phrasing, filler, and common chatbot writing patterns from an existing draft.

Skill for Claude CodeCodex

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

Good fit Use it to edit individual passages or batches of text when you want clearer rhythm, more specific wording, and a more human voice.

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

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

agentmods 80×15 button for humanizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/besoeasy/open-skills/humanizer"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/humanizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,423 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Privilege Escalation · line 36
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 $0.00025 $0.02423
Opus 5 $0.00013 $0.01211
Sonnet 5 $0.00005 $0.00485
Haiku 4.5 $0.00003 $0.00242

Measured 9d ago against content hash e75690f4d481, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

humanizer scanned grade B with 1 finding 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get install -y ripgrep nodejs npm
skills/humanizer/SKILL.md · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Humanizer: Remove AI writing patterns

Edit text so it sounds like a real person wrote it: clearer rhythm, stronger specificity, less filler, and no chatbot artifacts. Keep the original meaning, facts, and intent.

Quick quality checklist

  • name matches folder name exactly (humanizer)
  • Examples are copy-paste runnable (Bash + Node.js)
  • Rewrites preserve factual claims and scope
  • Output includes rewritten text and optional concise change summary
  • No invented facts, citations, or sources

When to use

  • User asks to “humanize”, “de-AI”, “make this sound natural”, or “remove AI tone”
  • Draft sounds generic, inflated, formulaic, or overly polished
  • Content has chatbot artifacts (hedging, servile tone, boilerplate intros/outros)
  • You need a tighter, more direct style without changing factual claims

Required tools / APIs

  • No external API required
  • Optional local tools for batch editing:
    • rg (ripgrep) for pattern detection
    • node (v18+) for scripted rewrite pipelines

Install options:

# Ubuntu/Debian
sudo apt-get install -y ripgrep nodejs npm

# macOS
brew install ripgrep node

Skills

basic_usage

Use this flow for single passages:

  1. Identify AI-patterns in the input
  2. Rewrite sentences to simpler constructions
  3. Replace vague claims with specific details when provided
  4. Keep tone aligned to the user’s context (formal/casual/technical)
  5. Return the rewritten text

Bash (pattern scan):

cat input.txt \
  | rg -n -i "\b(additionally|crucial|pivotal|underscores|highlighting|fostering|landscape|testament|vibrant)\b|\b(i hope this helps|let me know if|great question)\b|—|[“”]"

Node.js (simple rule-based humanizer):

function humanizeText(text) {
  const replacements = [
    [/\bIn order to\b/g, "To"],
    [/\bDue to the fact that\b/g, "Because"],
    [/\bAt this point in time\b/g, "Now"],
    [/\bIt is important to note that\b/g, ""],
    [/\bI hope this helps!?\b/gi, ""],
    [/\bLet me know if you'd like.*$/gim, ""],
    [/\bserves as\b/g, "is"],
    [/\bstands as\b/g, "is"],
    [/\bboasts\b/g, "has"],
    [/—/g, ","],
    [/[“”]/g, '"']
  ];

  let output = text;
  for (const [pattern, to] of replacements) {
    output = output.replace(pattern, to);
  }

  return output
    .replace(/\s{2,}/g, " ")
    .replace(/\n{3,}/g, "\n\n")
    .trim();
}

// Usage:
// const fs = require('node:fs');
// const input = fs.readFileSync('input.txt', 'utf8');
// console.log(humanizeText(input));

Read the full file on GitHub · 307 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 · 307 lines · 25 tokens per session scan B e75690f4d481

Subscribe to this mod's changes

humanizer is a skill published in the GitHub repository besoeasy/open-skills (132 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 2,423 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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