scene-asset

scene-asset is a skill for Codex from 62656456/ai-film-skills. It costs 98 tokens per session (4,102 once invoked), scanned A, original, Apache-2.0.

A scene-reference image generator that turns a described place or environment into a structured asset brief and image-generation task.

In plain words
What is it for?
Use it to define reusable scene assets, generate reference-image instructions, record locked features, and prepare prompts for supported image or video workflows.
Why use it?
It helps keep locations, materials, lighting, perspective, and approved visual details consistent across later images and video.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to define reusable scene assets, generate reference-image instructions, record locked features, and prepare prompts for supported image or video workflows.

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Install with agentmods
npx agentmods add skills/62656456/ai-film-skills/scene-asset
Install

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.

Any agent
npx skills add 62656456/ai-film-skills --skill scene-asset
Clone the repo
git clone --depth 1 https://github.com/62656456/ai-film-skills

Made for: Codex.

Wrote 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.

agentmods badge for scene-asset

README.md
[![agentmods](https://agentmods.dev/badge/skills/62656456/ai-film-skills/scene-asset/github.svg)](https://agentmods.dev/skills/62656456/ai-film-skills/scene-asset)
Your own site
<a href="https://agentmods.dev/skills/62656456/ai-film-skills/scene-asset"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/scene-asset/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.

agentmods 80×15 button for scene-asset

Your own site · 80×15
<a href="https://agentmods.dev/skills/62656456/ai-film-skills/scene-asset"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/scene-asset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,102 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.04102
Opus 5 $0.00049 $0.02051
Sonnet 5 $0.00020 $0.00820
Haiku 4.5 $0.00010 $0.00410

Measured today against content hash ee713cacf6c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

scene-asset 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 today.

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.

skills/scene-asset/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

场景资产参考图生成预设

当前包已经包含全部运行规则、参数依据和质量门;不使用未经用户确认的人脸或生物特征。

0. 加载规则与映射表

确认资产设计任务 → 通读已提供剧本并建立设计依据 → 选择交付与成像模式 → 读本包画面关系判断 → 提取第1节字段 → 按第2节一致性锁定 → 第3–5节补足材质/光影/几何 → 选择平台和第7节适用模板 → 按当前交付阶段执行第8节检查与第9节负向 → 输出资产合同。资产编号:S01–S99,已确认编号不得复用。

独立输出 用途
1–5 空间描述、锁定规则 确定地理和可拍性
6–7 平台任务与提示词字段 直接生成参考图
8–9 验收和防崩 独立质量检查
10 JSON 合同 供后续制作直接读取
11 类型适配字段 注入成片提示词的对应段落

剧本先行与设计依据

用户提供剧本时,第一步先通读所提供的完整正文,理解故事气质、时代与世界规则、人物身份和关系、剧情因果及时间线,再回到资产出现的场次设计外观、空间或状态。长剧本可分段读完并保留简短连续性记录,不能只搜资产名或读摘要就声称通读;只有片段时说明实际阅读范围,未给剧本时依据当前描述设计,不虚构已读全本。

内部保留简短设计依据:正文来源与阅读范围、相关场次、故事风格与成像方式、已确认事实、设计推定、关键未知。设计要能解释“为什么这个资产在此时此地是这个样子”;后文信息可帮助理解时代、身份与伏笔,但不能把后续损坏、受伤、天气或揭示结果提前带入当前场次。

用户与当前项目已经明确的画风优先;未指定成像方式时默认摄影写实,以可信结构、材质和光影呈现。悬疑、喜剧、奇幻等故事类型不自动等于某种画风。未提供细节或参考图时,从剧本与用途主动提出合理设计;影响剧情、身份、既有锁定事实的关键未知才需确认。一般颜色、材料、陈设、维护与使用细节可作有依据的设计推定,不一律退回待确认;推定不能冒充原文或用户已确认事实。

交付与成像模式

按用户点名的结果选择,不自动扩展为整套图:

  • 提示词/设计说明:交付当前请求的完整提示词、必要锁定信息与资产合同;尚未生成的参考图用空列表并标为计划,不填写虚构图片路径或声称图片通过。
  • 实际参考图:用户要求出图且有可用能力时生成所需图片;单图先交单图,整套资产请求或明确跨视角验收需求才扩展角度。实际看图后记录检查结果,用户批准前保持 pending_review。
  • 诊断/局部修改:围绕给定图或提示词指出可见问题、原因假设和对应修正;保留未点名的身份、风格与状态,不默认重做整套资产。

依第0节确定成像方式(无指定时默认摄影写实),再按本包 电影画面关系判断 设计画面关系与负向。此参考在设计、改写、诊断时读取;编号/文件查询不必加载。模板中的多格、人物尺度、标准布光和材质纹理均按用途选取,不因模板固定成套、写实或宏大。

1. 描述维度表

必填维度:空间类型与用途、时代/地点、使用者与活动状态、尺度、布局与必要设施、维护程度、材质、时间、天气、光照、色彩、前中后景深度、固定场景标志、日常使用及剧情事件痕迹。

规则:按第0节区分剧本事实、设计推定与关键未知;只把用户或剧本已确认的维度写入 locked_features,待审设计不冒充已锁定。描述按从整体到局部、从外观到材质、从静态到状态组织,并对应当前剧情节点。

从剧情到可见环境细节

按“场所用途与使用者 → 必要布局、公共/生活设施及陈设 → 使用与维护状态 → 天气作用 → 已发生事件 → 可见光照后果”推导画面。每项关键细节说明因何存在、出现位置和合适强度,优先让空间能承载本场人物行动;人读说明与提示词直接写实际可见结果,不堆空泛的真实感、生活感。

生活感包括使用、整理、清洁、维修、生产和自然作用,既可整洁有序,也可磨损凌乱。器具、家具、食物与衣物依据住户、职业、经济条件和正在进行的活动选择,不把例子变成固定采购清单。正常开放的公共空间依据时段与用途安排使用人群和设施;用户要无人空场、假期或停用状态时不强加人群,仍可用设施及使用痕迹交代用途。

天气必须落到具体表面与空间:积沙受地形、风向及遮挡影响,扬尘强度服从当前天气;雨痕、滴水、潮湿及反射发生在实际暴露或传递水分的位置,不因室外下雨就让封闭室内遍地积水。事件痕迹对应已经发生的剧情与维护历史;弹痕、破损、血迹、庆典食品等会暗示具体事件的细节须有叙事依据,不能凭题材标签添加或提前泄露后续情节。

2. 一致性/状态规则

Read the full file on GitHub · 206 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. today Changed · +24 lines · +14 tokens per session ee713cacf6c4
  2. 4d ago Changed · +10 lines c2341db79673
  3. 7d ago Changed · +10 tokens per session 266d0f60155a
  4. 12d ago First seen · 172 lines · 74 tokens per session scan A f30a9b27f792

Subscribe to this mod's changes

scene-asset is a skill published in the GitHub repository 62656456/ai-film-skills (17 stars, last pushed yesterday), licensed Apache-2.0. It adds 98 tokens to every session and 4,102 once invoked, about $0.0005 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 2026-08-31.

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