Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tzengyuxio/skills --skill shakespeare-stylegit clone --depth 1 https://github.com/tzengyuxio/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tzengyuxio/skills/shakespeare-style)<a href="https://agentmods.dev/skills/tzengyuxio/skills/shakespeare-style"><img src="https://agentmods.dev/badge/skills/tzengyuxio/skills/shakespeare-style/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tzengyuxio/skills/shakespeare-style"><img src="https://agentmods.dev/badge/skills/tzengyuxio/skills/shakespeare-style.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00178 | $0.07833 |
| Opus 5 | $0.00089 | $0.03916 |
| Sonnet 5 | $0.00036 | $0.01567 |
| Haiku 4.5 | $0.00018 | $0.00783 |
Grade A, and why
shakespeare-style scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shakespeare-style — 改寫成朱生豪式中譯莎劇腔
把任何文章改寫成朱生豪式（1940s–50s）的中譯莎劇悲劇腔——譬喻濃密、文白 夾雜、戲劇性情感外露，讀完讓人覺得這不只是一段敘述，而是一場小型的人類 悲劇。
風格參照：朱生豪（1912–1944）譯本為主——朱譯偏濃情半文白，是中文 世界最熟悉的「莎劇腔」。代表譯作：《哈姆萊脫》《李爾王》《奧瑟羅》《麥 克白斯》（即四大悲劇）。梁實秋（1903–1987）譯本較精準淺白，作為 次要對照。
譯本選擇說明：朱譯本 1944 完成，1995 起在台灣公有領域；中國大陸2014 起公有領域。本 skill 預設朱生豪腔；若使用者明確要求梁實秋風格，可在輸入時註明「採梁實秋風」。
一句話靈魂
譬喻密度 + 文白夾雜 + 戲劇性情感外露——三者構成朱生豪腔指紋，缺一就 不是莎劇譯腔。其餘 18 條 checklist 都在服務這三條。
戲劇格式（角色名前綴 + 舞台說明）為 Soft 規則（≥500 字才必加），但戲 劇性情感（呼告、感嘆、反問、誓言）是 Hard——即使散文化譯出，仍需保留 戲劇腔。
Arguments
$0—（選填）Markdown 或純文字檔案路徑。若省略，請使用者提供內文， 或從對話上下文中找最近編輯的檔案。
Step 1: Load the Text
- 若提供
$0，讀取該檔案。 - 若無引數，找對話中最近撰寫或編輯的 Markdown 檔，或請使用者提供文字。
- 若原文不是繁體中文，先在心中譯為繁體中文（不必輸出），再做改寫。
Step 2: Read Source and Extract One Tension
朱生豪腔不是把原文翻譯成感嘆句，而是抽出核心張力，重新講一個有悲劇命運 感的小故事。
讀完原文後，用一句話自答：
這篇文章的「悲劇衝突」在哪？是野心 vs 良知？復仇 vs 猶豫？嫉妒 vs 信任？瘋狂 vs 清醒？命運 vs 抉擇？
可能的張力來源：權力之慾、復仇之火、嫉妒之毒、命運之網、瘋與醒的邊界、 父子之裂、戀人之誤、忠與叛之選。原文若是議論文／學術文／新聞，先抽出 核心張力，再為它設計一個悲劇場景——不要把論點直接「翻譯」成獨白。
若原文太長（超過 1500 字），只取一個主題改寫，不要硬塞所有內容。
Step 3: Decide Modern → Tragic Theme Mapping
若原文涉及現代生活（科技、職場、政治、消費），把主題抽象化為悲劇普世 主題：
| 現代主題 | 莎劇悲劇等價 |
|---|---|
| 職場野心 | 王權之慾（Macbeth） |
| 加班趕工 | 命運的鞭策、時間的暴政 |
| 失戀／分手 | 嫉妒（Othello）／戀人誤會（Romeo & Juliet） |
| 升遷競爭 | 兄弟相殘、父位之爭（King Lear） |
| 公司倒閉 | 王朝傾覆、王國崩塌 |
| 健康／病痛 | 命運的詛咒、身體的背叛 |
| 家庭責任 | 父子之裂（Hamlet）／姐妹之裂（Lear） |
| 政治派系 | 宮廷陰謀、忠奸之辨 |
| 演算法／系統 | 命運／三女巫的預言 |
| 通訊科技 | 信差、密信、誤傳 |
例外：若使用者明確要求保留某一現代詞作為刻意時代錯位，可保留 1–2 個。
Step 4: Choose Character Configuration
從六種配置中挑一種。莎劇悲劇的力量來自人與命運的對撞——
| 配置 | 張力來源 | 莎劇對應 |
|---|---|---|
| 君王 / 弄臣 | 權力 vs 智慧 | King Lear / Fool |
| 王子 / 鬼魂 | 復仇之命 | Hamlet / Ghost |
| 戀人 / 父親 | 愛 vs 家世 | Romeo / Capulet |
| 嫉妒者 / 無辜者 | 猜疑摧毀真實 | Othello / Desdemona |
| 巫女 / 命運 | 預言 vs 自由 | Macbeth / Three Witches |
| 傻子 / 智者 | 表面瘋癲，其實清醒 | Lear's Fool / Hamlet's pretended madness |
角色名取莎劇式音譯名（哈姆雷特／羅密歐／奧菲麗亞）或抽象稱（公子／ 王后／老者／少年）。避免太現代姓名（「王經理」「小李」會破壞悲劇感）。
Step 5: Choose 譬喻系統 + 戲劇結構
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 381 lines · 178 tokens per session scan A e0ee2a8fa773
shakespeare-style is a skill published in the GitHub repository tzengyuxio/skills (46 stars, last pushed 1mo ago), licensed MIT. It adds 178 tokens to every session and 7,833 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
chinese-documentation
A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.
azure-ai-translation-text-py
Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications. Triggers: "text translation", "translator", "translate text", "transliterate", "TextTranslationClient".
harden
Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.
seedance-vocab-ja
This skill should be used when the user asks for Japanese Seedance 2.0 prompt wording, Japanese cinematic vocabulary, or translation of camera, lighting, action, VFX, audio, and production terms into Japanese.
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
i18n-helper
A helper for adding internationalization, which lets software show different languages and regional text. It finds user-visible text written directly in code and moves it into language files.