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SKILL verified Apache-2.0 Self-run

Content Locale Humanize Zh

skill-muvon-octomind-tap-content-locale-humanize-zh · by Muvon

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

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Install

$ agentstack add skill-muvon-octomind-tap-content-locale-humanize-zh

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

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About

Overview

Sourced calibration anchors for Chinese, 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 best quantitative backing of any non-English language checked. A university news-lab corpus study measured roughly 4x higher parallel-sentence-structure rates in AI-generated Chinese text versus human-written text.

Calque tell: "不是…而是…" (a direct calque of the English "not X but Y" hedge-flip construction).

Triad-listing tell: "首先…其次…最后" (first…second…finally), used as a rhythm crutch rather than because the content has exactly three parts.

Watch for English-syntax interference in translated technical content: relative clauses and passive constructions that mirror English sentence structure instead of Chinese topic-comment structure.

References

Renmin University 新闻坊 (RUC Journalism Studio) news-lab corpus study.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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