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 sanhuang520-ship-it/awesome-chinese-ai-tools --skill guochao-visual-cngit clone --depth 1 https://github.com/sanhuang520-ship-it/awesome-chinese-ai-toolsWrote 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/sanhuang520-ship-it/awesome-chinese-ai-tools/guochao-visual-cn)<a href="https://agentmods.dev/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/guochao-visual-cn"><img src="https://agentmods.dev/badge/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/guochao-visual-cn/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/sanhuang520-ship-it/awesome-chinese-ai-tools/guochao-visual-cn"><img src="https://agentmods.dev/badge/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/guochao-visual-cn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00099 | $0.02300 |
| Opus 5.5 | $0.00040 | $0.00920 |
| Sonnet 5.5 | $0.00020 | $0.00460 |
| Haiku 4.5 | $0.00010 | $0.00230 |
Grade A, and why
guochao-visual-cn 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 1mo 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
国潮视觉助手
解决的问题：想要"中国风"，但生成出来是日式和风、或者塑料感的伪国风。
原因通常是提示词里只写了 "Chinese style"——这个词太宽，模型会往日漫或泛东方风格上跑。必须指定具体的美学传统。
什么时候用
国潮插画、古风头像、传统文化海报、国漫风格图、新中式设计、汉服人物、节气配图、品牌国潮联名、公众号国风配图。
第一步：先问清 3 件事
- 用在哪（头像 / 海报 / 公众号配图 / 电商主图 / 短视频封面）—— 决定构图和比例
- 要哪种"中国风"（下面 12 种给他选，或描述感觉让你判断）
- 主体内容（人物？场景？物件？具体是什么）
⚠️ 用户说"就要中国风"时，不要直接生成。先给他看下面的风格对照，让他选—— 这是出图质量的关键分水岭。
12 种中国美学画风配方
一、传统绘画类
1. 水墨写意
- 特征：留白大、笔触洒脱、墨分五色、意到笔不到
- 适合：山水、竹石、禅意、茶文化
- 提示词核心：
Chinese ink wash painting, xieyi freehand style, generous negative space, varied ink tones from pale wash to deep black, expressive brushstrokes, rice paper texture - ⚠️ 避免：过度细节、饱和色彩
2. 工笔重彩
- 特征：线条精细、层层渲染、色彩浓丽、一丝不苟
- 适合：花鸟、仕女、宫廷题材、精致产品图
- 提示词核心：
Chinese gongbi painting, meticulous fine-line brushwork, layered mineral pigments, ornate detail, silk scroll texture - ⚠️ 避免：写意笔触、留白过多
3. 青绿山水
- 特征：石青石绿为主、金线勾勒、装饰性强
- 适合：大场景、国潮海报、文旅宣传
- 提示词核心：
Chinese blue-green landscape painting, azurite and malachite mineral pigments, gold outline, layered mountains, decorative composition - 参考感觉：《千里江山图》的色彩体系
4. 敦煌壁画
- 特征：土红/石青/土黄、飞天飘带、装饰性图案、斑驳质感
- 适合：文化 IP、神话题材、国潮联名
- 提示词核心：
Dunhuang mural style, earthy ochre and azurite palette, flying apsaras with flowing ribbons, weathered wall texture, Tang dynasty decorative patterns
二、民间艺术类
5. 年画
- 特征：色彩鲜艳（大红/明黄/翠绿）、人物饱满、寓意吉祥、平面化
- 适合：春节、喜庆主题、复古国潮
- 提示词核心：
Chinese New Year woodblock print style, vivid red yellow green palette, plump auspicious figures, flat decorative composition, folk art
6. 剪纸
- 特征：单色（多为红）、镂空、对称、线条连续
- 适合：节日、极简设计、图标
- 提示词核心：
Chinese paper-cut art, single red color on white, intricate symmetrical negative space, continuous connected lines, silhouette style
7. 皮影
- 特征：剪影、关节分明、暖光透射感、装饰镂空
- 适合：叙事插画、戏剧感场景
- 提示词核心：
Chinese shadow puppet style, backlit translucent silhouette, jointed figures, ornate cutout patterns, warm amber glow
三、现代国潮类
8. 国潮插画（新国货风）
- 特征：传统元素 + 现代平面设计、高饱和撞色、几何化重构
- 适合：品牌营销、包装、电商主图
- 提示词核心：
modern Chinese guochao illustration, traditional motifs reimagined in flat geometric shapes, bold contrasting colors, contemporary graphic design - ⚠️ 这是最容易做"塑料"的一种，关键是传统元素要具体（不是泛泛的"龙凤祥云"）
What ships with it
1 file 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.
- 1mo ago First seen · 154 lines · 99 tokens per session scan A 8380658a632d
guochao-visual-cn is a skill published in the GitHub repository sanhuang520-ship-it/awesome-chinese-ai-tools (11 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 2,300 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.
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