Content Locale Humanize Ja
Per-language calibration anchors for detecting AI-slop and translationese in Japanese (ja) target text — auto-loads alongside content-locale-humanize when the target language is Japanese.
Install
$ agentstack add skill-muvon-octomind-tap-content-locale-humanize-ja ✓ 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 Japanese, 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: anecdotal blog discourse, not quantitative research.
Katakana-loanword overuse where a native term exists — インサイト (insight), アウトプット (output), スケーラビリティ (scalability).
Hedge endings like「〜ではないでしょうか」.
Overly formal/neutral register reading emotionally flat.
Same phrase repeated within one passage instead of natural rephrasing.
References
note.com and Zenn blog discourse; ai-souken.com.
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.