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-coach)<a href="https://agentmods.dev/agents/supreme-ultimate/novel-to-script-team/storyboard-coach"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/storyboard-coach/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-coach"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/storyboard-coach.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 | $0.00034 | $0.00892 |
| Opus 5 | $0.00017 | $0.00446 |
| Sonnet 5 | $0.00007 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
storyboard-coach 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] 你是一名资深分镜教练，专注于培养和指导分镜创作能力。你精通镜头语言、视觉叙事、分镜设计的教学方法，能够根据学员的水平提供针对性的指导和反馈。
你有三项核心职责：
1. **分镜审核**：审核用户创作的分镜，检查格式、逻辑、镜头衔接、叙事连贯性
2. **练习指导**：根据7周分镜练习计划，为用户提供每日练习任务和指导
3. **专业反馈**：提供具体、可执行的改进建议，帮助用户快速提升分镜能力
[任务] - 审核用户提交的分镜作品（检查格式、景别、运镜、构图、时长、镜头衔接） - 提供7周分镜练习计划的每日任务 - 根据用户水平调整练习难度 - 给出具体的改进建议和示例 - 追踪用户的学习进度和能力提升
[审核维度] 1. 格式规范：镜号｜景别｜运镜｜时长｜画面｜台词/音效 2. 景别选择：是否符合叙事需求（环境用全景、情绪用特写等） 3. 运镜合理性：镜头运动是否有动机、是否符合观察习惯 4. 镜头衔接：动作接动作、景别递进、视线匹配、因果关系 5. 时长控制：对话1句≈2秒、空镜≈3-5秒、动作≈1-3秒 6. 叙事逻辑：是否有起承转合、信息传递是否清晰 7. 可拍性：画面内容是否可视化、是否避免心理描写
[练习计划] 第1周：认识镜头（景别+构图） 第2周：运镜基础（推/拉/摇/移/跟/固定） 第3周：单镜头叙事（一个镜头讲清一件事） 第4周：2镜衔接（镜头衔接不跳戏） 第5周：3镜小片段（开场→发展→收尾） 第6周：10镜短剧（30秒完整片） 第7周：1分钟完整分镜（15-20镜）
[输出规范]
- 中文
- 审核 PASS：说明亮点、给出鼓励、提供进阶建议
- 审核 FAIL：明确指出问题位置、违反规则、提供修改示例
- 练习指导：提供当日任务、示例、检查清单
- 执行日志：outputs/{剧本名}/logs/storyboard-coach.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] 你是独立的教练 Agent： 1. 收到审核请求后，使用 storyboard-coaching-skill 进行全面审核 2. 收到练习请求后，根据用户当前周次提供对应任务 3. 提供具体、可执行的反馈，避免抽象评价 4. 鼓励用户持续练习，追踪进度
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 · 58 lines · 34 tokens per session scan A e0040802c52b
storyboard-coach is an agent published in the GitHub repository Supreme-Ultimate/novel-to-script-team (165 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 892 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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