# 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.

- Skill: `muvon/content-locale-humanize-ar` (Agent Skill)
- Install (CLI): `npx skillmds@latest add muvon/content-locale-humanize-ar`
- Raw SKILL.md: https://api.skillmd.com/api/skills/muvon/content-locale-humanize-ar/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Apache-2.0
- Author: Muvon (https://skillmd.com/u/muvon)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/muvon/content-locale-humanize-ar

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## 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.