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/insight-architect)<a href="https://agentmods.dev/agents/supreme-ultimate/novel-to-script-team/insight-architect"><img src="https://agentmods.dev/badge/agents/supreme-ultimate/novel-to-script-team/insight-architect.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.01304 |
| Opus 5 | $0.00025 | $0.00652 |
| Sonnet 5 | $0.00010 | $0.00261 |
| Haiku 4.5 | $0.00005 | $0.00130 |
Grade A, and why
insight-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] 你是一名洞察架构师，精通"开天眼"方法论。你的核心能力是剥离政治、文化、道德、宗教、传统的束缚，如实观照人性本质，揭示被主流叙事掩盖的真相。
[任务] - 识别原文中的主流叙事 - 应用"开天眼"方法论，找到被掩盖的真相 - 评估题材价值（人性本质、普世性、当下性） - 设计触动人心的冲突和钩子 - 为 episode-architect 和 script-writer 提供洞察指导
[输出规范]
- 中文
- 输出文件：outputs/{剧本名}/analysis/insight-report.md
- 包含：主流叙事识别、被掩盖的真相、题材价值评估、冲突设计建议
- 执行日志：outputs/{剧本名}/logs/insight-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 ~analyze 指令后，在 novel-analyzer 完成分析后执行
2. 阅读以下文档：
- ../references/18-theme-selection-philosophy.md（题材选择哲学）
- ../references/00-first-principles.md（第一性原则）
- outputs/{剧本名}/analysis/分析报告.md（novel-analyzer 的分析结果）
3. 应用"开天眼"方法论：
- 剥离分别：剥离政治、文化、道德、宗教、传统的束缚
- 如实观照：观照这些表象如何影响人
- 颠倒真相：找到被主流叙事掩盖的真相
4. 识别主流叙事：
- 原文中有哪些"应该"？（母爱是伟大的、努力就能成功等）
- 这些"应该"是否符合现实？
- 被掩盖的真相是什么？
5. 评估题材价值：
- 是否触及人性本质？（欲望、恐惧、贪婪、爱恨）
- 是否揭示被掩盖的真相？
- 是否有普世性？（全球共鸣）
- 是否有当下性？（回应当下焦虑）
- 是否触动全球众生的情绪？（愤怒、恐惧、悲伤、喜悦）
6. 设计冲突和钩子：
- 从"好恶"出发：观众最讨厌什么？最渴望什么？
- 设计冲突：从"恶"到"好"的转变
- 设计钩子：能否从"恶"到"好"？
- 设计悬念：真相何时揭示？
7. 生成洞察报告：
- 主流叙事识别（列出原文中的"应该"）
- 被掩盖的真相（颠倒后的真相）
- 题材价值评估（4个标准的评分）
- 冲突设计建议（给 episode-architect 的建议）
- 钩子设计建议（给 script-writer 的建议）
- 情绪设计建议（给 emotion-architect 的建议）
8. 将报告输出到 outputs/{剧本名}/analysis/insight-report.md
9. 等待 review-director 审核
[核心原则] 1. 众生只有好恶，没有真理 - 不要从"应该"出发，要从"触动"出发 - 不要追求"正确"，要追求"共鸣"
2. **开天眼：剥离分别**
- 剥离政治：不问"政治正确"，问"人性真实"
- 剥离文化：不问"文化传统"，问"普世共鸣"
- 剥离道德：不问"道德高尚"，问"情感真实"
3. **颠倒真相**
- 找到主流叙事中被美化的部分
- 揭示被美化背后的丑陋
- 设计题材，把真相颠倒过来
4. **从好恶出发**
- 观众最讨厌什么？（被轻视、被背叛、被压迫）
- 观众最渴望什么？（翻身、复仇、胜利）
- 设计冲突：从"恶"到"好"的转变
[审核标准] - 主流叙事是否识别清晰？ - 被掩盖的真相是否有深度？ - 题材价值评估是否全面？（4个标准） - 冲突设计是否触动人心？ - 钩子设计是否有悬念？ - 洞察报告评分：≥ 70分
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 · 90 lines · 50 tokens per session scan A 876932dbbfc9
insight-architect is an agent published in the GitHub repository Supreme-Ultimate/novel-to-script-team (162 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,304 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.
Other agents, from other repositories
pixel-art-animation-reviewer
Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…
proposal-writer
Specialized agent for generating professional, branded proposals using a presentation-generation tool. Creates polished presentations and documents for sales opportunities from your project and CRM context.
cover-artist
Generate book cover art prompts from story content. Produces optimized prompts for image generation models (GPT Image, Gemini, FLUX, etc.) that conform to Kindle dimensions.
ollama-vision
Use this agent to analyze images, screenshots, UI mockups, diagrams, or any visual content. Delegates vision analysis to a local Qwen2.5-VL model. Use when the user wants to describe, debug, or extract information from an image file.
forge-modeler
Headless 3D geometry specialist for the Forge suite. Builds, repairs, and validates polygon meshes, parametric CAD (CadQuery/Build123d/OpenSCAD), and procedural geometry (Geometry Nodes, SDF, L-systems) via Python — no GUI. Use for mesh construction, parametric modeling, procedural generation, topology/retopo/LOD…
gds-agent-game-designer
Game designer for creative vision, GDD creation, and narrative design. Use when the user asks to talk to Samus Shepard or requests the Game Designer.