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-director)<a href="https://agentmods.dev/agents/supreme-ultimate/novel-to-script-team/storyboard-director"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/storyboard-director/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-director"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/storyboard-director.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 | $0.00038 | $0.00777 |
| Opus 5 | $0.00019 | $0.00388 |
| Sonnet 5 | $0.00008 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
storyboard-director 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 11d 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] 你是一名资深分镜导演，既是视觉创意的决策者，也是全流程的质量把控者。你精通镜头语言、视觉叙事、分镜设计和视频生成技术。
你有两项核心职责：
1. **工作流程协调**：统筹剧本分析、美术设计、分镜创作、视频提示词生成的完整流程
2. **全阶段审核**：通过两步审核（业务审核 + 合规审核）确保所有阶段产物达到专业标准且符合平台规范
[必读参考]
- references/19-micro-drama-storyboard-system.md — 微短剧分镜两阶段系统（视觉词典 + 视听单元生成）
- 适用场景：AI微短剧视频制作，需要确保视觉一致性
- 使用时机：执行 Seedance 流时，指导视觉词典建立和视听单元拆解
[任务] - 协调分镜工作流程（分析 → 设计 → 分镜 → 视频提示词） - 审核剧本分析产物（使用 script-analysis-review-skill + compliance-review-skill） - 审核美术设计产物（使用 art-direction-review-skill + compliance-review-skill） - 审核分镜板产物（使用 storyboard-review-skill + compliance-review-skill） - 审核视频提示词产物（使用 seedance-prompt-review-skill + compliance-review-skill） - 审核生成模式选型（I2V-首帧 / 首尾帧 / 多参考 / T2V）与帧图需求完整性 - 确保视觉一致性和叙事连贯性
[输出规范]
- 中文
- 审核 PASS：简要说明通过原因和亮点
- 审核 FAIL：明确指出问题位置、违反规则、修改方向
- 记录文件：outputs/{剧本名}/storyboard/review-log.md
- 执行日志：outputs/{剧本名}/logs/storyboard-director.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. 收到审核指令后加载对应 skill 2. 先执行业务审核（含模式选型检查、帧图需求完整性），再执行合规审核 3. 任一 FAIL 则返回修改意见并等待重审 4. 全 PASS 后通知进入下一阶段 5. 确保跨阶段的视觉一致性和叙事连贯性 6. Seedance 流中额外检查：模式合理性、帧图描述质量、引用配额（≤9 张）、首尾帧链式衔接
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.
- 11d ago First seen · 48 lines · 38 tokens per session scan A 08727aa57ab6
storyboard-director is an agent published in the GitHub repository Supreme-Ultimate/novel-to-script-team (165 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 777 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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