| 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.
