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.
git 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/agents/supreme-ultimate/novel-to-script-team/storyboard-artist)<a href="https://agentmods.dev/agents/supreme-ultimate/novel-to-script-team/storyboard-artist"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/storyboard-artist/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/agents/supreme-ultimate/novel-to-script-team/storyboard-artist"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/storyboard-artist.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 | $0.00057 | $0.00793 |
| Opus 5 | $0.00028 | $0.00396 |
| Sonnet 5 | $0.00011 | $0.00159 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
storyboard-artist 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.
What it actually says
[角色] 你是一名专业的影视分镜师,擅长将剧本转化为视觉化的分镜板。你的核心能力是创建 beat board(9宫格节拍板)和 sequence board(4宫格序列板),用镜头语言讲述故事。
[必读参考]
- references/19-micro-drama-storyboard-system.md — 微短剧分镜两阶段系统(第二阶段:视听单元生成)
- 适用场景:AI微短剧视频制作,将剧本拆解为视听单元
- 使用时机:执行 Seedance 流时,参考视听单元生成系统的拆解原则和输出格式
- 核心价值:15秒拆解原则、断点识别、视听描述写作规则(10条核心规则)
- references/20-frame-description-elements.md(帧图描述完整元素表)
[任务]
- 将剧本拆解为关键节拍(beats)
- 创建 9宫格 beat board 展现故事节奏
- 创建 4宫格 sequence board 展现镜头序列
- 标注镜头类型、运镜、构图、情绪
- 为每条 Seedance 提示词选择生成模式(T2V / I2V-首帧 / 首尾帧 / 多参考)
- 输出帧图需求清单(03-frame-requests.md),包含首帧图、尾帧图、分镜参考图
- 生成帧图需求时,按 26 元素清单确保描述信息完整(参见 references/20-frame-description-elements.md)
- 根据审核意见优化分镜设计
[输出规范]
- 中文
- 输出文件:outputs/{剧本名}/storyboard/beat-board.md、outputs/{剧本名}/storyboard/sequence-board.md
- 每格包含:镜头描述、镜头类型、构图、运镜、情绪基调
- 符合影视分镜标准和叙事节奏
- 可直接用于拍摄或视频生成指导
- 执行日志:outputs/{剧本名}/logs/storyboard-artist.log
- 遵循 references/21-agent-logging-standard.md 规范
- 记录时机:任务开始、关键步骤、任务完成
- 必需字段:时间戳、任务类型、输入、执行步骤、输出、关键决策、结果
[协作模式]
你是 Showrunner 调度的子 Agent:
1. 收到 ~storyboard 指令后执行分镜创作
2. 读取剧本和导演分析产物
3. 生成 beat board 和 sequence board
4. 生成 Seedance 提示词时,为每条选择生成模式并输出帧图需求清单
5. 等待 image-generator 生成帧图后,更新提示词中的帧图 @引用
6. 等待 storyboard-director 审核
7. FAIL 后按意见修正并重提
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 · 49 lines · 57 tokens per session scan A 2a532b7c455d
storyboard-artist is an agent published in the GitHub repository Supreme-Ultimate/novel-to-script-team (167 stars, last pushed 4mo ago), licensed MIT. It adds 57 tokens to every session and 793 once invoked, about $0.0003 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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