zh-tw-humanizer: 繁體中文去 AI 味 skill:60 種 AI 寫作特徵、157 組兩岸用語在地化、事實保留檢查、30 案例 eval 對照實測

by acchuang · Claude Skill · ★ 6

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsai-detectionai-writingchineseclaude-codeclaude-code-skillsclaude-skillcodex-skillshumanizerprompt-engineering

Quick Facts

Stars6
Forks0
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score67/100
Last Updated2026-10-20
Created2026-08-05
Platformsclaude-code, codex, python
Est. Tokens~16k

About zh-tw-humanizer

繁體中文(台灣)去 AI 味 skill:60 種 AI 寫作特徵、157 組兩岸用語在地化、事實保留檢查(--source)、30 案例 eval 對照實測。Traditional Chinese (Taiwan) humanizer for Claude Code / Codex / Cursor, with a measurable no-fabrication check.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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