Zh Article Analyzer Skill
Description
Claude Code skill for deep linguistic analysis of Traditional Chinese articles—extract stylometrics, vocabulary richness, rhetorical structure, sentiment arc, and word-level metrics with line-by-line reporting
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
zh-article-analyzer
[](https://github.com/htlin222/zh-article-analyzer-skill/actions/workflows/release.yml) [](https://github.com/htlin222/zh-article-analyzer-skill/releases/latest) [](https://opensource.org/licenses/MIT) [](https://github.com/vercel-labs/skills) [](https://github.com/vercel-labs/skills#supported-agents)
繁體中文文章深度分析技能。對任何中文文章進行多維度科學化剖析,產出精確到行號與段落的分析報告。
Install
npx skills add htlin222/zh-article-analyzer-skill
npx skills add -g htlin222/zh-article-analyzer-skill # global
npx skills add htlin222/zh-article-analyzer-skill --agent claude-code # specific agent
What it does
對繁體中文文章執行兩階段分析:
- 量化階段:執行 Python 腳本(jieba 分詞),產出客觀數據指標(詞彙豐富度、句式節奏、語域特徵、情感弧線),附行號定位
- 質性階段:基於量化數據,由 LLM 進行深層修辭、典故、論證結構分析
涵蓋:文體指紋(Stylometrics)、語言節奏、詞彙豐富度、引用與典故圖譜、主題動態、情感弧線、修辭力道、文白比、成語密度等。最終整合為一份「文章指紋報告」。
Example
Below is a sample analysis report generated from [this Facebook post](https://www.facebook.com/caseychen1996/posts/pfbid0x7n8AM4NA5AtjzF6GtPCbZfafzBck7WF7X8tXyqUZSUmktnUqubNh2wVxZCE5DJMl) — a social commentary article on gender issues in entertainment media.
Click to expand full report文章指紋分析報告
一、文章概要
| 項目 | 數據 |
|---|---|
| 標題 | 用擦邊未成年、性話題、親密行為來做效果,為什麼以前這樣可以但現在不行? |
| 總字數 | 2,643 字 |
| 總段落數 | 23 段 |
| 總句數 | 46 句 |
| 推估文類 | 社會評論/媒體素養論說文 |
二、量化指標摘要
2.1 詞彙豐富度
| 指標 | 數值 | 解讀 |
|---|---|---|
| 總詞數(tokens) | 1,544 | — |
| 不重複詞數(types) | 742 | — |
| TTR(Type-Token Ratio) |
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**Generated:** 2026-04-11