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content-locale-humanize-ar

Per-language calibration anchors for detecting AI-slop and translationese in Arabic (ar) target text; auto-loads alongside content-locale-humanize when the target language is Arabic.

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Muvon/octomind-tap
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2026년 9월 18일 09:13
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SKILL.md
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name
content-locale-humanize-ar
title
Arabic Native-Fluency Calibration
description
Per-language calibration anchors for detecting AI-slop and translationese in Arabic (ar) target text; auto-loads alongside content-locale-humanize when the target language is Arabic.
license
Apache-2.0
compatibility
Extends content-locale-humanize's AI-Slop & Translationese dimension. Load both together — this file has no rubric of its own.
domains
content
rules
["content(arabic)","match(\\bar-(SA|EG|AE)\\b)","match(\\bArabic\\b)","match(العربية)","semantic(check if this Arabic translation sounds native)","semantic(eliminate translationese from this Arabic text)"]
## Overview Sourced calibration anchors for Arabic, feeding `content-locale-humanize`'s AI-Slop & Translationese dimension. This is a calibration aid, not the checklist — reason natively beyond it (see the core skill's "why structure, not word lists" section). ## Instructions Sourcing confidence: the weakest of any language checked. Most published Arabic AI-word lists are direct translations of the English canon, not independently observed findings — treat any finding here as a starting hypothesis, not a confirmed tell. Stock phrases: "في الختام" ("in conclusion"), "لا شك أن" ("there's no doubt that"). Beyond this thin list, lean harder on the structural checks in `content-locale-humanize` (interference, connector density, rhythm clustering) than on vocabulary matching — the vocabulary evidence for Arabic specifically is not solid. ## References One Al Jazeera piece naming a handful of phrases; otherwise mostly translated-from-English lists.
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