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 Supreme-Ultimate/novel-to-script-team --skill show-dont-tell-skillgit clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-teamWrote 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/supreme-ultimate/novel-to-script-team/show-dont-tell-skill)<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/show-dont-tell-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/show-dont-tell-skill/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/supreme-ultimate/novel-to-script-team/show-dont-tell-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/show-dont-tell-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00036 | $0.03987 |
| Opus 5 | $0.00018 | $0.01994 |
| Sonnet 5 | $0.00007 | $0.00797 |
| Haiku 4.5 | $0.00004 | $0.00399 |
Grade A, and why
show-dont-tell-skill 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 — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Show Don't Tell 技能
必读
../../references/13-show-dont-tell-methodology.md../../references/03-script-writing-standard.md../../references/10a-action-dialogue-scenes.md
核心任务
将抽象情绪翻译为可拍摄的动作和画面,让观众通过看到的画面感受情绪,而不是被告知情绪。
执行流程
步骤1:扫描识别
扫描剧本,识别所有情绪形容词:
1.1 情绪形容词黑名单
参考 references/13-show-dont-tell-methodology.md 第一章,识别以下类型:
基础情绪类:
- 伤心、难过、悲伤、痛苦、心碎
- 开心、高兴、快乐、兴奋、激动
- 愤怒、生气、恼火、暴怒、愤恨
- 害怕、恐惧、惊恐、紧张、不安
- 惊讶、震惊、意外、诧异、惊愕
复杂情绪类:
- 失望、绝望、无助、无奈、迷茫
- 尴尬、羞愧、内疚、后悔、自责
- 嫉妒、羡慕、不甘、憋屈、委屈
- 冷漠、麻木、疲惫、厌倦、无聊
- 温柔、温暖、感动、心疼、怜惜
状态描述类:
- 紧张、焦虑、慌乱、不知所措
- 犹豫、纠结、矛盾、挣扎、动摇
- 坚定、果断、决绝、冷静、淡定
- 疲惫、虚弱、无力、崩溃、绝望
1.2 允许的网文感情绪词
以下词可以保留(但必须配合具体动作):
- 冷笑、嗤笑、冷哼、轻笑、讥笑
- 眼神一冷、目光一沉、脸色一变
- 嘴角上扬、眉头一挑、眼神闪烁
1.3 识别输出格式
## 情绪形容词清单
| 位置 | 原文 | 情绪类型 | 严重程度 |
|------|------|---------|---------|
| 第2场 第3行 | "她很伤心" | 伤心 | 高(直接使用黑名单词) |
| 第3场 第5行 | "他愤怒地说" | 愤怒 | 中(副词形式) |
| 第4场 第8行 | "她失望极了" | 失望 | 高(直接使用黑名单词) |
**统计**:
- 情绪形容词总数:12个
- 剧本总字数:3500字
- 情绪形容词密度:3.4个/1000字(超标,目标 ≤ 2个/1000字)
步骤2:情绪分类
对每个识别出的情绪形容词,判断情绪类型:
| 情绪类型 | 子类型 | 翻译策略 |
|---|---|---|
| 伤心/难过 | 轻度、中度、重度 | 使用克制动作(咬唇、低头、转身) |
| 愤怒/生气 | 压抑、爆发、冷怒 | 使用爆发动作(站起、摔、握拳) |
| 害怕/恐惧 | 紧张、恐惧、惊恐 | 使用防御动作(后退、颤抖、攥衣角) |
| 惊讶/震惊 | 意外、震惊、难以置信 | 使用中断动作(停住、愣住、掉落) |
| 失望/绝望 | 失望、心灰意冷、绝望 | 使用放弃动作(垂眼、垂手、放下) |
| 尴尬/羞愧 | 尴尬、羞愧、内疚 | 使用回避动作(躲闪、低头、转身) |
| 犹豫/纠结 | 犹豫、纠结、举棋不定 | 使用重复动作(反复、来回、悬停) |
| 冷漠/麻木 | 冷漠、麻木、无动于衷 | 使用机械动作(机械点头、无反应) |
步骤3:动作化翻译
参考 references/13-show-dont-tell-methodology.md 第二章的翻译表,为每个情绪提供3个改写方案:
3.1 翻译输出格式
## 改写建议
### 位置:第2场 第3行
**原文**:
※ 她很伤心,眼泪止不住地流下来。
**问题**:
1. 直接使用情绪形容词"伤心"
2. "眼泪止不住"太直白,缺乏层次
3. 缺乏具体动作和环境细节
**改写方案1(推荐)**:
※ 她低头盯着手机屏幕,拇指悬在发送键上方,颤抖着,最终还是删掉了整段文字。 △ 她咬紧下唇,眼眶泛红,但强忍着没让泪水落下。
- 景别:特写(手机屏幕)+ 中景(咬唇、眼眶)
- 优点:克制、有层次、有具体动作
- 情绪传达:通过"删掉文字"和"强忍"传达伤心
**改写方案2**:
※ 她靠在墙上,缓缓滑坐到地上,双手抱住膝盖,把脸埋进臂弯里。 △ 她的肩膀微微颤抖,但没有发出任何声音。
- 景别:全景(滑坐)+ 中景(肩膀颤抖)
- 优点:视觉冲击力强,孤独感明显
- 情绪传达:通过"滑坐"和"埋脸"传达伤心
**改写方案3**:
※ 她站在窗前,看着外面的雨,手指在玻璃上画了一个圈,又慢慢抹掉。 △ 她深吸一口气,闭上眼睛,眼角有泪痕。
- 景别:侧面中景(窗前)+ 特写(泪痕)
- 优点:有环境细节(雨),有象征动作(画圈抹掉)
- 情绪传达:通过"雨"和"抹掉"传达伤心
**推荐理由**:
方案1最符合短剧节奏,动作具体、克制、有层次,且符合"可控剧本三问"(人物≤2、动作简单、情绪段落清晰)。
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 · 406 lines · 36 tokens per session scan A 6c24e752e550
show-dont-tell-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (165 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 3,987 once invoked, about $0.0002 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.
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