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 5.5 | $0.00071 | $0.03133 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo ago First seen · 381 lines · 178 tokens per session scan A e0ee2a8fa773
shakespeare-style is a skill published in the GitHub repository tzengyuxio/skills (47 stars, last pushed 3mo ago), licensed MIT. It adds 178 tokens to every session and 7,833 once invoked, about $0.0007 per session on Opus 5.5. 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.
shakespeare-style compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shakespeare-styletzengyuxio/skills | Skill | 47 | 3mo ago | MIT | A | 178 | Claude Code |
| intl-expansionalirezarezvani/claude-skills | Skill | 29k | yesterday | MIT | A | 27 | Claude Code |
| azure-ai-translation-text-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 60 | Claude Code |
| chinese-documentationjnMetaCode/superpowers-zh | Skill | 8.5k | 11d ago | MIT | A | 62 | Claude Code |
| hardenfengshao1227/ccg-workflow | Skill | 6.0k | 5d ago | MIT | A | 62 | Claude Code |
| edit-sitemicrosoft/power-platform-skills | Skill | 1.1k | yesterday | MIT | A | 104 | Claude Code |
| asc-subscription-localizationrorkai/app-store-connect-cli-skills | Skill | 1.1k | yesterday | MIT | A | 60 | Claude Code |