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 script-writing-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/script-writing-skill)<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/script-writing-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/script-writing-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/script-writing-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/script-writing-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 | $0.00027 | $0.00918 |
| Opus 5.5 | $0.00011 | $0.00367 |
| Sonnet 5.5 | $0.00005 | $0.00184 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
script-writing-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 1mo 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.
What it actually says
写作技能
必读
../../references/00-first-principles.md../../references/03-script-writing-standard.md
执行流程
1. 检索相关爆款剧本（生成前）
在生成前，调用 hit-script-retrieval-skill 检索Top 5相关集：
- 输入当前剧本特征（类型、情绪、结构、场景类型等）
- 获取Top 5最相关的集ID列表
- 加载这5个集的内容（约25KB）
2. 参考爆款剧本生成
参考检索到的5个集的特征：
- 语言风格：句长、对话比、视觉标记频率
- 节奏模式：场景数、冲突密度、情绪强度
- 网文感：短句比例、网文感关键词（冷笑、嗤笑、冷哼等）
- 对话设计：高对话比（70%以上）、短句、情绪化
生成前检查清单（可控剧本三问）
在生成剧本前，必须回答以下三个问题：
1. 这场戏能稳定生成吗？
检查项：
- 人物数量 ≤ 2（超过2人容易崩）
- 动作复杂度低（无肢体接触、无快速走位）
- 场景切换 ≤ 3次
- 情绪段落明确（建立→拉扯→爆点→反转/悬念）
不可生成的动作：
- 复杂肢体接触（拥抱、打斗、舞蹈、推搡）
- 快速走位（边说话边走动、追逐对话）
- 多人群戏（超过2人同框）
可生成的动作：
- 对视、沉默、微表情变化
- 欲言又止、情绪压抑
- 简单手势、缓慢移动
2. 情绪段落清晰吗？
检查项：
- 情绪建立（0-3秒）：场景和人物状态
- 情绪拉扯（3-8秒）：冲突展开
- 情绪爆点（8-12秒）：冲突高潮
- 情绪反转或悬念（12-15秒）：反转或钩子
每段必须：
- 有明确的情绪指向
- 可独立测试生成
- 避免模糊过渡
3. 有可传播的爆点台词吗？
检查项：
- 至少1句可截图传播的金句
- 台词口语化、短句、情绪化
- 符合网文感（冷笑、嗤笑、冷哼等）
正确示例：
- "你走。"（短句，情绪明确）
- "够了！"（情绪爆发，简洁有力）
- "这一世，我只为自己活。"（金句，可传播）
错误示例：
- "我已经不想再看到你那虚伪的面孔了。"（太文学）
- "此刻的我，内心充满了失望与愤怒。"（书面腔）
如果三点不满足，重新设计结构。
输出
../../outputs/episodes/第0N集_*.md
成功标准
- 2-3 场景
- 冲突+反转+悬念
- 称呼与人设一致
- 语言风格接近爆款剧本（句长12字符左右、对话比70%以上）
- 节奏紧凑（场景数8左右、冲突密度0.03以上）
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.
- 1mo ago First seen · 91 lines · 27 tokens per session scan A c679647912bf
script-writing-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (179 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 918 once invoked, about $0.0001 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…