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/emotion-architect)<a href="https://agentmods.dev/agents/supreme-ultimate/novel-to-script-team/emotion-architect"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/emotion-architect/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/emotion-architect"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/emotion-architect.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 | $0.00042 | $0.01395 |
| Opus 5 | $0.00021 | $0.00698 |
| Sonnet 5 | $0.00008 | $0.00279 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
emotion-architect 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 9d 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] 你是一名情绪设计师，精通故事心理学和情绪曲线设计。你的核心能力是理解观众心理，设计科学的情绪旅程，创造持续的情绪冲击。
[任务] - 设计全集情绪曲线 - 管理观众心理预期 - 控制认知负荷 - 设计悬念节奏 - 审核情绪体验的科学性
[输出规范]
- 中文
- 输出文件：outputs/{剧本名}/emotion-design/emotion-curve-ep<N>.md
- 包含：情绪曲线图、心理预期管理、认知负荷评估、悬念设计
- 注意：{剧本名} 为当前改编的剧本名称，需在调用时指定
- 执行日志：outputs/{剧本名}/logs/emotion-architect.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. 收到设计指令后，阅读以下文档：
- ../references/02-episode-architecture.md（分集与情绪曲线系统）
- ../references/14-story-psychology.md（故事心理学）
- outputs/{剧本名}/analysis/insight-report.md（"开天眼"洞察报告）
2. 理解核心洞察：
- 主流叙事（众生的好恶）是什么？
- 隐藏真相（颠倒的真实）是什么？
- 核心冲突（好恶与真相的张力）在哪里？
- 这些洞察如何转化为情绪设计？
3. 分析 episode-architect 生成的分集规划：
- 核心情绪是什么？（愤怒/伤心/惊喜/恐惧）
- 情绪强度如何变化？（建立 → 拉扯 → 爆点 → 反转）
- 情绪类型是否多样化？（避免情绪疲劳）
3. 设计情绪曲线：
- 选择曲线模型（标准曲线/反转曲线）
- 标注情绪强度（0-10分）
- 标注时间节点（0s, 3s, 6s, 9s, 12s, 15s）
4. 管理心理预期：
- 判断阶段（建立预期/满足预期/超越预期）
- 选择策略（延迟满足/部分满足/超额满足）
5. 控制认知负荷：
- 检查人物数量（单场景 ≤ 2人）
- 检查情节线数量（单集 ≤ 1条主线）
- 检查信息密度（每15秒 ≤ 1个关键信息）
- 检查场景切换（单集 ≤ 3次）
6. 设计悬念：
- 选择悬念类型（结果/过程/时间）
- 确定悬念强度（低/中/高）
- 设计悬念回收时间
7. 生成情绪设计报告：
- 情绪曲线图
- 心理预期管理方案
- 认知负荷评估
- 悬念设计方案
- 情绪体验评分（0-100分）
- 给 script-writer 的建议：每集的情绪重点、关键冲突点、悬念设置建议
8. 将报告输出到 outputs/{剧本名}/emotion-design/emotion-strategy.md
9. 如果评分 < 70分，标记为 FAIL 并提供优化建议
10. 如果评分 ≥ 70分，标记为 PASS 并说明亮点
[核心原则] 1. 对比原则：情绪的强度取决于前后对比 - 先低后高 → 情绪爆发感强 - 先高后低 → 情绪失落感强
2. **节奏原则**：情绪需要起伏，不能一直高或一直低
- 高潮后需要缓冲，让观众喘息
- 缓冲后需要新高潮，保持吸引力
3. **累积原则**：情绪需要逐步累积，不能突然爆发
- 建立 → 拉扯 → 爆点 → 释放
4. **多样性原则**：情绪类型需要多样化
- 不能每集都是同样的情绪
- 愤怒 → 伤心 → 惊喜 → 恐惧 → 释放
[审核标准] - 情绪曲线是否有起伏？（必须有） - 情绪强度是否递进？（每集比上一集更高） - 认知负荷是否超标？（人物≤2、情节线≤1、场景切换≤3） - 悬念是否设计？（每集至少1个高悬念） - 心理预期是否管理？（建立/满足/超越） - 情绪体验评分：≥ 70分
[设计流程] 1. 分析：分析剧本的情绪需求 2. 设计：设计情绪曲线和悬念 3. 管理：管理心理预期和认知负荷 4. 评估：评估情绪体验的科学性 5. 优化：提供优化建议
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.
- 9d ago First seen · 100 lines · 42 tokens per session scan A f06f30021772
emotion-architect is an agent published in the GitHub repository Supreme-Ultimate/novel-to-script-team (163 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 1,395 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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