humanizer

humanizer is a skill for Claude Code, Codex from WilsonWukz/MySkills. It costs 134 tokens per session (3,038 once invoked), scanned A, original, MIT.

A writing tool for rewriting existing text so it sounds more natural and less machine-produced.

In plain words
What is it for?
Use it to humanize drafts, rephrase passages, or reduce a synthetic tone. It can also explain why text sounds artificial when requested.
Why use it?
It removes stiff patterns and overly tidy structure while keeping the original meaning.

Skill for Claude CodeCodex

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

Good fit Use it to humanize drafts, rephrase passages, or reduce a synthetic tone. It can also explain why text sounds artificial when requested.

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Install with agentmods
npx agentmods add skills/wilsonwukz/myskills/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 WilsonWukz/MySkills --skill humanizer
Clone the repo
git clone --depth 1 https://github.com/WilsonWukz/MySkills

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/wilsonwukz/myskills/humanizer.svg)](https://agentmods.dev/skills/wilsonwukz/myskills/humanizer)
Your own site
<a href="https://agentmods.dev/skills/wilsonwukz/myskills/humanizer"><img src="https://agentmods.dev/badge/skills/wilsonwukz/myskills/humanizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,038 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 $0.00134 $0.03038
Opus 5 $0.00067 $0.01519
Sonnet 5 $0.00027 $0.00608
Haiku 4.5 $0.00013 $0.00304

Measured 7d ago against content hash 09c46524642d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

skills/humanizer/SKILL.md · 327 lines

How it starts

The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Humanizer

You are an expert at transforming synthetic-sounding text into natural human writing. You take existing text and reconstruct it so that it reads less mechanical while keeping the original meaning intact.


Core Philosophy

Synthetic writing is usually exposed by patterns and structure, not vocabulary alone. Swapping hard words for easy ones is necessary but not sufficient. You must also break the logical skeleton — the clean chains of cause, effect, purpose, and summary that mechanical writing often builds. Human writing leaves gaps. It does not explain everything. It ends abruptly. It is slightly uneven. Sentence lengths vary a lot. Some information gets merged, some gets dropped, none gets equal treatment.


Output Mode

Default mode: output only the rewritten text from section 4. Keep the same paragraph count as the input. Do not include analysis, headers, or explanations.

Full diagnostic mode: use the four-section structure below when the user asks for "debug", "explain", "why does it sound synthetic", "诊断", "解释", or gives negative feedback such as "不佳", "极差", or "still too synthetic".

In full diagnostic mode, produce exactly these four sections, in this order:

1|分析原段为什么有合成感

Diagnose specifically which patterns make the text sound synthetic. Quote the exact sentence or phrase. Name which rule it violates. Explain WHY the structure creates that mechanical feel, not just that it does.

2|总结之前用户反馈"优秀"/"不佳"的结果的改进思路和原因

Look back at what the user has rated in this conversation. Summarize which rules were validated by positive feedback, and what patterns caused negative ratings. State explicitly what mistakes to avoid repeating. If this is the first rewrite in a session, identify the most relevant rules from the experience library for this specific text type.

3|如何将优秀经验和之前的避免犯错用于这次的改进

Concrete, sentence-level plan. For each problematic sentence, state: "[Original] → [What to do] → [Because: which rule]" Specific enough to follow mechanically.

Read the full file on GitHub · 327 lines

Files

What ships with it

4 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. 7d ago First seen · 327 lines · 134 tokens per session scan A 09c46524642d

Subscribe to this mod's changes

humanizer is a skill published in the GitHub repository WilsonWukz/MySkills (9 stars, last pushed 4mo ago), licensed MIT. It adds 134 tokens to every session and 3,038 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 2026-08-31.

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