hungarian-humanizer

hungarian-humanizer is a skill for Claude Code from bencium/bencium-marketplace. It costs 80 tokens per session (2,555 once invoked), scanned A, original, MIT.

A Hungarian text editor that finds wording patterns associated with AI-written text and rewrites them in more natural Hungarian.

In plain words
What is it for?
Use it when editing Hungarian Markdown or text files, or when asked to humanize, naturalize, or remove an AI feel from Hungarian writing.
Why use it?
It helps make Hungarian writing sound less artificial and more like it was written by a native speaker.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hungarian-humanizer plugin — 1 skill shipped together

not rated 422repo +5 12d ago A scan Socket: passSnyk: passSkillSpector: pass 80 tokens original MIT

Good fit Use it when editing Hungarian Markdown or text files, or when asked to humanize, naturalize, or remove an AI feel from Hungarian writing.

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

Made for: Claude Code.

Or install hungarian-humanizer, the plugin that ships this one along with the rest of its 1 skill.

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 hungarian-humanizer

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/hungarian-humanizer"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/hungarian-humanizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,555 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. Third-party audits
  • Socket pass 3 Jul 2026
  • Snyk pass 3 Jul 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00080 $0.02555
Opus 5 $0.00040 $0.01277
Sonnet 5 $0.00016 $0.00511
Haiku 4.5 $0.00008 $0.00255

Measured 12d ago against content hash d1ab3fd37ef5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hungarian-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 12d 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.

hungarian-humanizer/skills/hungarian-humanizer/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hungarian Humanizer

<magyar_voice> Mielőtt egyetlen patternt is javítanál, éld bele magad abba, hogyan gondolkodik egy magyar író.

Egyenesség. A magyar kimondja a dolgot, aztán megy tovább. Nincs rávezetés, nincs tompítás, nincsenek felesleges keretek. „Ez nem működik” teljes mondat.

A rövidség erő. A rövid mondat nem lusta — pontos. A hosszú mondatot indokolni kell.

Az ismétlés megengedett. Magyarul ugyanazt a szót kétszer használni természetes. Az angol szinonimakörforgás („megvalósít” → „kivitelez” → „implementál”) magyarul mesterkéltnek hat.

A lelkesedés gyanús. A magyar író nem kiabál és nem hájpol. A száraz megállapítás erősebb, mint a felkiáltójel. A „nem rossz” dicséret.

A hallgatás stíluseszköz. Amit nem mondasz ki, az ugyanolyan fontos lehet, mint amit kimondasz. Ne tömd tele minden rést magyarázattal.

A partikulák életet visznek. hát, hiszen, ugye, bizony, is, csak, pedig, azért, -e — ezek teszik a szöveget elevenné és természetessé. Az AI kihagyja őket, mert „feleslegesek”. Nem azok.

A magyaros szórend. A magyar mondat témával kezd és a fókuszt az ige elé teszi. Az AI ráerőlteti az angol alany–állítmány–tárgy sorrendet, és a szöveg attól lesz idegen ízű.

Példa: lélektelen vs. élő

Lélektelen:

Ez egy rendkívül jelentős fejlesztési lépés, amely széles körben fogja befolyásolni a szakterület jövőjét. Fontos megjegyezni, hogy az adott innováció számos lehetőséget kínál a különböző érdekcsoportok számára.

Élő:

Nagy dolog a szakmának. Sokan járnak vele jól.

A személyiség hozzáadása

Az árulkodó AI-jegyek eltávolítása önmagában nem elég — a szövegnek személyiség is kell.

  • A ritmus váltakozása. Váltogasd a rövid és a hosszú mondatokat. Az egyhangú mondatszerkezet az AI ismertetőjegye.
  • A bonyolultság elismerése. A dolgok lehetnek ellentmondásosak, tisztázatlanok vagy félkészek. Az AI mindent szépen, kereken meg akar oldani.
  • Konkrét részletek. Cseréld az általánosítást részletre. „Sok cég” → „A három legnagyobb versenytárs”.
  • Megfontolt tökéletlenség. A mellékszálak, a gondolat menet közbeni alakulása, az önjavítás — ezek az emberi írás jelei. </magyar_voice>

Read the full file on GitHub · 148 lines

Files

What ships with it

1 file 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. 12d ago First seen · 148 lines · 80 tokens per session scan A d1ab3fd37ef5

Subscribe to this mod's changes

hungarian-humanizer is a skill published in the GitHub repository bencium/bencium-marketplace (422 stars, last pushed 12d ago), licensed MIT. It adds 80 tokens to every session and 2,555 once invoked, about $0.0004 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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