prop-asset

prop-asset is a skill for Codex from 62656456/ai-film-skills. It costs 109 tokens per session (5,353 once invoked), scanned A, original, Apache-2.0.

A preset for designing reference images of props, meaning objects used in a scene or production. It records an object’s appearance, materials, dimensions, condition, views, ownership, orientation, and consistency rules.

In plain words
What is it for?
It is for creating reusable reference images and structured asset instructions for props such as documents, tools, containers, clothing items, or other scene objects.
Why use it?
It removes guesswork when an object must look the same across images or video shots. It also identifies missing details instead of inventing them and checks proportions, materials, lighting, and physical interactions.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for creating reusable reference images and structured asset instructions for props such as documents, tools, containers, clothing items, or other scene objects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/62656456/ai-film-skills/prop-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 prop-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 prop-asset

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/62656456/ai-film-skills/prop-asset"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/prop-asset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,353 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 $0.00109 $0.05353
Opus 5.5 $0.00044 $0.02141
Sonnet 5.5 $0.00022 $0.01071
Haiku 4.5 $0.00011 $0.00535

Measured 18d ago against content hash 86647c6045aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prop-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 18d 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.

skills/prop-asset/SKILL.md · 220 lines

How it starts

The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.

道具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

先确定本次媒介与改动范围。首次建立或重设计资产按下方剧本依据、描述、状态、材质/光影/几何和适用模板完成;局部修改只执行受影响部分,编号/文件查询直接回答。同一上下文已完整读取且未变的材料复用,不为改一处重新跑全流程。资产编号:P01–P99,已确认编号不得复用。

节 独立输出 用途
1–5 资产描述、锁定规则 确定外观与状态
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

首次建立或重新设定资产且用户提供剧本时,通读所提供的完整正文,理解世界规则、身份关系、剧情因果和时间线,再回到资产出现的场次设计。长剧本可分段读完并留简短连续性记录。局部修订复用本轮已读且未变的依据,只补读受影响原文、当前场次与必要前后状态;跨上下文或源文本变化时核对实际来源。不能只搜名称或读摘要就声称通读;只有片段时说明覆盖范围,未给剧本时依据当前描述设计。

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。新设计、整体改写或整体诊断读取此参考;局部修订仅补读相关判断,已读且未变时复用;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。

新设计、整体重设计或完整设定板任务读取 道具造型与设定表达:先完成形制与设计意图,再选解释它所需的视图。已有明确外观只做局部派生时直接继承基准,补读对应方法,不重开造型。

道具资产的重点是整体设定与能解释设计的细节。整套设定任务按需要组织整体外形、区别正反/侧面的视图,以及关键结构和材质的局部图;避免只有一张漂亮摆拍,也避免每个物件都机械套相同多视图。用户只要一张时,可按用途交整体图或一张设定板;用户指定单视角、单个局部或不拼图时严格遵从。视图数量由需要回答的设计问题决定,不固定格数,不自动扩成多张。

设定板的每个局部都对应同一件道具上的明确位置与当前状态,整体/视角图用于定位,局部用于解释构造。完整设定图可按表达需要使用简短部位名、引线、材料说明与有依据的比例/尺寸,不必等用户逐项点名;用户明确无字时不添加。纯外观参考和剧情画面不自动叠加说明。精确尺寸无依据时标为设计推定或留空,工程性能与可制造性不因生成图存在而成立。

1. 描述维度表

设计依据按用途覆盖:类型、用途、时代、使用者、形体比例、尺寸、结构/操作关系、材质、颜色、重量感、状态/磨损、必要视面、文字、持有人与朝向;不逐字段堆进提示词。先决定与使用方式和世界美术一致的轮廓、体块及辨识特征,再细化接口与新旧程度。磨损有使用位置与原因,不给所有道具统一做旧,不加入尚未发生的损坏或泄露后续线索。

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。

Read the full file on GitHub · 220 lines

Files

What ships with it

4 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. 18d ago Changed · +33 lines · +22 tokens per session 86647c6045aa
  2. 28d ago Changed 8fc378d17822
  3. 1mo ago Changed · +13 lines 598730d035a9
  4. 1mo ago Changed · +10 lines 470bd06279ee
  5. 1mo ago Changed · +10 tokens per session 3dd4bce13548
  6. 1mo ago First seen · 164 lines · 77 tokens per session scan A 0fd050392c65

Subscribe to this mod's changes

prop-asset is a skill published in the GitHub repository 62656456/ai-film-skills (92 stars, last pushed 9d ago), licensed Apache-2.0. It adds 109 tokens to every session and 5,353 once invoked, about $0.0004 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

seedance-20

This skill should be used when creating, improving, or troubleshooting Seedance 2.0 video on any surface — Dreamina, Jimeng, CapCut, Doubao, Volcengine/Ark, BytePlus, Runway's Seedance route, fal, or third-party provider/router surfaces such as EvoLink, OpenRouter, Kie.ai, PiAPI, LaoZhang, Runware, ModelsLab, AI/ML…

LeoYeAI/seedance-skills · 178 tokens

seedance-prompt

This skill should be used when the user asks to write, improve, translate, compress, or debug a Seedance 2.0 video prompt; mentions T2V, I2V, V2V, R2V, camera direction, prompt quality, or provides reference assets for a production-ready prompt.

LeoYeAI/seedance-skills · 68 tokens

miora-video-studio

A video-generation workflow for the Miora and WorkBuddy tools. It checks whether a video was really created by inspecting the saved file, rather than trusting a task response.

kangarooking/director-skills · 176 tokens

travel-skill

A production guide for realistic travel-promotion videos that combine authorised real footage with AI-generated shots.

kangarooking/director-skills · 142 tokens

action-fight-prompt

A guide for writing prompts for AI-generated action and fight videos. It breaks a scene into short timed sections and describes connected movements, camera work, visual continuity, and sound effects.

kangarooking/director-skills · 179 tokens

travel-photo-to-video

A workflow for turning real travel photographs into a storyboard and prompts for short AI-generated video shots. It keeps the photographs' subjects and locations consistent while suggesting restrained camera movement.

kangarooking/director-skills · 90 tokens