humanizer

humanizer is a skill for Claude Code, Codex from Prism-Shadow/penguin-harness. It costs 136 tokens per session (1,538 once invoked), scanned A, original, Apache-2.0.

A writing guide for making prose read like it was edited by a person for a book, newspaper, or encyclopedia.

In plain words
What is it for?
Rewriting or drafting text in any language, while choosing an appropriate tone, length, and level of detail.
Why use it?
It helps remove repetitive, padded, or formulaic wording often associated with AI-generated drafts.

Skill for Claude CodeCodex

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

About the project

PenguinHarness is a local-first platform in which multiple AI agents create, evaluate, optimize, and deploy agent applications. It is for people building AI software who want agents to generate applications and improve their own behavior through skills.

Prism-Shadow/penguin-harness · 1,991 stars · on GitHub · penguin.ooo

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/prism-shadow/penguin-harness/humanizer
Any agent
npx skills add Prism-Shadow/penguin-harness --skill humanizer
Clone the repo
git clone --depth 1 https://github.com/Prism-Shadow/penguin-harness

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/prism-shadow/penguin-harness/humanizer.svg)](https://agentmods.dev/skills/prism-shadow/penguin-harness/humanizer)
Your own site
<a href="https://agentmods.dev/skills/prism-shadow/penguin-harness/humanizer"><img src="https://agentmods.dev/badge/skills/prism-shadow/penguin-harness/humanizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,538 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 5.1 $0.00136 $0.01538
Opus 5 $0.00068 $0.00769
Sonnet 5 $0.00027 $0.00308
Haiku 4.5 $0.00014 $0.00154

Measured yesterday against content hash 5e5346ffe6f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 yesterday.

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.

plugins/humanizer/skills/humanizer/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Humanizer

Make prose read like edited human writing: the register of books, quality newspapers and encyclopedia entries. Everything here was derived empirically, across seven rounds of drafting, blind editorial review and revision, documented with counts in reference/case-study.md. The working surface is deliberately small: a writer boxed in by a long checklist produces compliance, not prose — that failure mode is the case study's best-documented finding. Draft with the principles below; diagnose with the catalog afterwards.

Before you start

If the invocation carries no text and no assignment, ask for one: the draft to edit, or the topic, length, audience and language to write fresh. Settle two things early. The register: books, newspapers and encyclopedias are the default target, while marketing, speeches and reference documentation legitimately bend these rules, so confirm how far to go. And any hard length target: humanizing shrinks text, and gaps are filled with substance, never padding. If the genre needs material nobody has gathered — reportage needs a scene, a person, a quotation — say so and get it, or agree to relabel the piece; never fake the texture.

Core principles

  1. No pattern twice. Whatever the figure — a contrast frame, a triad, a cleft, an opener shape, a paragraph arc, a metaphor, even a favorite connective particle — its second consecutive use is a rhythm and its third is a stencil. Vary sentence length, clause weight, paragraph attack and closer; if every paragraph advances by the same move, swap engines somewhere.
  2. Density is anchored facts in whole grammar. Names, dates, numbers, mechanisms and worked examples carry the argument; hype, era openers, phantom crowds ("faster than most expected" — who?) and concepts pushing concepts carry nothing. Compress by dropping padding, not grammar: subjects stay, first mentions get their full noun, and the event that matters gets a sentence of its own.
  3. Cap the quotables. One or two turned phrases can carry a piece, counting every shape: chiasmus, mirrored re-description, balanced antithesis, aphoristic kickers. State the thesis once and develop it with new material or cut the echo. Most paragraphs end flat, and an argument survives a dud.
  4. A real writer, with the material. Opinion owns its anecdotes and risks a judgment of its own; reportage has stood somewhere; reference registers keep the writer invisible without chaperoning the reader. Claims sized to the evidence, honest hedges kept, references anchored (who, where, when), and one non-obvious source beats a second canonical one.
  5. Structure serves content. Open on ground, not on a cold verdict and not on an era; paragraphs develop one idea across several sentences; headings and bullets appear only where content is genuinely enumerable; the piece ends where the information ends.
  6. Write from inside the language. Native idiom — a sentence that back-translates cleanly into another language was composed there, so recompose it — native punctuation at native frequency (a dash where the register expects one beats zero), and the venue's typography held consistently. Per-language budgets and surface forms: reference/language-cues.md, which indexes one reference/<lang>-cues.md file per language.
  7. True, verified, calibrated. Never invent specifics. Re-derive every mechanism example from the stated mechanism, split fused attributions, and verify or delete every superlative. One fluent falsehood outweighs any amount of style.

Read the full file on GitHub · 40 lines

Files

What ships with it

9 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. yesterday Changed · -5 lines 5e5346ffe6f8
  2. 6d ago First seen · 45 lines · 136 tokens per session scan A bef2d8c650f4

Subscribe to this mod's changes

humanizer is a skill published in the GitHub repository Prism-Shadow/penguin-harness (1,991 stars, last pushed today), licensed Apache-2.0. It adds 136 tokens to every session and 1,538 once invoked, about $0.0007 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 2026-08-30.

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