guofeng-visual-director

guofeng-visual-director is a skill for Codex from 62656456/ai-film-skills. It costs 166 tokens per session (2,235 once invoked), scanned A, original, Apache-2.0.

A visual design and image-prompt guide for Chinese-inspired historical or imagined settings. It covers people, clothing, buildings, objects, colour, lighting, composition, continuity, and the distinction between historical reconstruction and stylised interpretation.

In plain words
What is it for?
Use it to design or refine visual concepts and prompts for historical or fictional Chinese-style scenes, portraits, environments, props, and related image work.
Why use it?
It helps keep cultural details, story facts, visual style, and repeated scenes consistent instead of treating every request as the same generic ancient setting.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to design or refine visual concepts and prompts for historical or fictional Chinese-style scenes, portraits, environments, props, and related image work.

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Install with agentmods
npx agentmods add skills/62656456/ai-film-skills/guofeng-visual-director
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 guofeng-visual-director
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 guofeng-visual-director

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/62656456/ai-film-skills/guofeng-visual-director"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/guofeng-visual-director.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 166 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,235 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 $0.00166 $0.02235
Opus 5.5 $0.00066 $0.00894
Sonnet 5.5 $0.00033 $0.00447
Haiku 4.5 $0.00017 $0.00224

Measured 25d ago against content hash 27a8ca643e31, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

guofeng-visual-director 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 25d 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.

experimental/guofeng-visual-director/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

古风视觉设计总监

从当前故事、人物、场景简报或用户参考出发,设计具有文化辨识度、审美主张和生活逻辑的中国古风画面。本包独立完成视觉方案、图像提示词、受控变体与画面诊断;实际出图通过当前环境可用的图像工具完成。

固定的是设计方法,变化的是视觉答案。不预设朝代、地域、民族、阶层、主角性别、色系、天气、建筑类型、镜头或叙事事件。清雅、浓艳、朴拙、华贵、荒寒、烟火气可以并存于不同项目;“古风”本身不意味着灰淡、柔焦、女子回眸或亭台烟雨。

任务入口与边界

  • 创建设计:把简报转成相互一致的美术、摄影与提示词。用户只要一个方案时,内部比较后交付一个完整选择。
  • 派生与变体:先识别同画面变体、同故事不同画面、独立故事;按各自范围保留或改变设计。
  • 优化:保留故事事实与已认可内容,修正提示词中真正影响画面的关系。
  • 诊断:先检查用户给的原图或原提示词;说明可见问题和原因。只要求诊断时不擅自重画。
  • 直接出图/编辑:用户明确要求图片时调用可用工具,查看实际输出,按已授权范围修订。创建技能或讨论能力不构成出图请求。

题材和媒介分开:古风指文化与时代的视觉基础;武侠强调江湖行动,仙侠包含超自然世界规则。用户选择混合题材时保留混合设定,不自动加天宫、法阵、轻功或兵戈。摄影、二维动画、工笔、水墨、插画、三维风格化均可;明确媒介优先。未说明时,为影视画面暂用摄影写实并标明可调整,不把它升为永久默认风格。

本包可以设计人物外观、空间和道具,也能输出供后续制作使用的视觉约束;不必读取其他技能。需要完整剧本、连续攻防或逐镜时长表时,将已确定的视觉约束交给相应工作环节,不擅自改故事或扩大为全片生产。

按需读取

只读取本次涉及的文件,简单局部修改不加载整套资料。

本次工作 读取
建立或修改时代文化基础;历史准确性判断;使用历史参考 文化依据与创作边界
场景、建筑、城市、园林、自然环境及世界视觉设定 空间与生活设计
人物、服饰、妆发、器物或陈设 人物服饰与器物
新画面、构图色彩光线、媒介转换、审美优化或诊断 画面与审美设计
编译提示词、系列图、实际生图、编辑与验收 提示词、连续性与检查

从需求到画面

1. 确定依据与开放空间

若提供剧本,先读实际提供的正文,辨认人物目的、关系、环境与当前时刻;只有片段时明确覆盖范围。纯人像、空景或单件器物无需虚构一段冲突故事。

内部区分:用户明确事实、已确认设计、必要推断、开放项与本轮设计提议。当前纠正优先于旧方案;参考图分别注明用于人物身份、服饰形制、空间、材质或画面关系。不要因参考图好看就整体复制。

只询问会实质改变结果且无法合理补足的关键缺口。其余用简短、可逆的假设继续;年代不明时可做架空古风,不能自行宣称宋代、盛唐或准确复原。

2. 选择文化约束与成像方式

文化约束与成像方式是两个独立选择:

  • 历史还原:按明确时期、地域、群体、身份和场合核对会影响设计的细节;证据不足的项目标待核实,不用“考据”概括整张图。
  • 架空古风:说明主要文化基础和允许的改造;形制、技术、礼制、生活方式在同一世界内一致。架空不等于随意拼装。
  • 风格化表达:声明哪些比例、色彩、空间或装饰被艺术化。可以基于历史或架空设定,不与二者互斥;当代审美修饰不伪称历史实物。

设计会改变朝代判断、建筑制度、服饰形制、礼仪或器物用途时,先读文化依据文件并查适用证据。只调一处曝光、裁切或复用已核实锁定内容,不必重新做历史研究。

3. 形成视觉主张

先回答:这张画面最值得看的关系是什么,观众首先看见什么,古风身份靠什么具体形态成立?

根据任务选重点:人物神态与身份、关系和权力、生活活动、环境气质、盛景、静物工艺、叙事瞬间。用一句具体主张约束形体、空间、光色和细节密度;“唯美、高级、电影感”不能单独承担主张。允许安静、明快、日常或纯观赏画面,不强加危机与代价。

4. 设计相互关联的可见要素

  • 空间:场所用途、进入方式、活动位置、尺度与生活痕迹;人物能使用这里,而非站在一张古建背景前。
  • 人物:身份、体态、神态、服装轮廓、穿着层次、妆发与饰物;漂亮与可信同时成立,不能用统一年轻面孔替代人物设计。
  • 器物:为何在场、如何拿取或使用、结构和材质;重点物件有清楚轮廓,其他陈设服务环境。
  • 画面:主次形体、明暗组织、色块关系、观察位置、焦点和遮挡。不同材质有不同光泽与受力,不统一塑料化或做旧。

Read the full file on GitHub · 94 lines

Files

What ships with it

6 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. 25d ago First seen · 94 lines · 166 tokens per session scan A 27a8ca643e31

Subscribe to this mod's changes

guofeng-visual-director is a skill published in the GitHub repository 62656456/ai-film-skills (71 stars, last pushed 2d ago), licensed Apache-2.0. It adds 166 tokens to every session and 2,235 once invoked, about $0.0007 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 2026-09-22.

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