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.
Install
$ agentstack add skill-muvon-octomind-tap-content-locale-humanize-ar ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Muvon
- Source: Muvon/octomind-tap
- License: Apache-2.0
- Homepage: https://octomind.run/tap/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.