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.
npx skills add 62656456/ai-film-skills --skill guofeng-visual-directorgit clone --depth 1 https://github.com/62656456/ai-film-skillsWrote 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/skills/62656456/ai-film-skills/guofeng-visual-director)<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.
<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>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 | $0.00166 | $0.02235 |
| Opus 5.5 | $0.00066 | $0.00894 |
| Sonnet 5.5 | $0.00033 | $0.00447 |
| Haiku 4.5 | $0.00017 | $0.00224 |
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.
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。
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.
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.
- 25d ago First seen · 94 lines · 166 tokens per session scan A 27a8ca643e31
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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