RuoYi AI is a full-stack enterprise platform for building AI assistants and agents that combine language models, knowledge bases, visual workflows, and multiple cooperating agents. Developers and organizations use it to manage model providers, retrieve information from documents, connect tools through MCP, and orchestrate agent workflows. The catalogue includes skills for working with RuoYi AI.
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 ageerle/ruoyi-ai --skill asset-aestheticsgit clone --depth 1 https://github.com/ageerle/ruoyi-aiWrote 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/ageerle/ruoyi-ai/asset-aesthetics)<a href="https://agentmods.dev/skills/ageerle/ruoyi-ai/asset-aesthetics"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/asset-aesthetics/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/ageerle/ruoyi-ai/asset-aesthetics"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/asset-aesthetics.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 | $0.00000 | $0.00554 |
| Opus 5.5 | $0.00000 | $0.00222 |
| Sonnet 5.5 | $0.00000 | $0.00111 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
asset-aesthetics 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 12d 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.
What it actually says
资产审美业务规则
按当前题材、时代、地域、身份和画风制作，不能把明代县令模板套到其他项目。身份/场合决定帽、领、叠襟、袖、腰带、下摆、鞋、纹样；史料不足标设计约定，不混同公服品色与常服补子。原已批准身份、服装、建筑成长阶段与连续性不被审美升级改写。
先写轮廓与体积，再主辅点睛色，再材料。人物脸型、年龄、体型、姿态各有差异：自然眉骨鼻梁颧颌体积，眼睛明亮不过大，皮肤柔和不蜡，头发先大束后少量碎发。棉麻漫反射与可见织纹，绸只柔和窄高光，皮革硬度和局部磨损，木材有构造与适度纹理，铁冷灰、铜暖褐。不能所有材质同一湿塑料高光。贫穷表现为普通材料、局部修补与节制陈设，不是遍身泥污和破洞；富裕不等于满屏金雕。
人物定妆仅单一身份、自然静态姿势和清楚完整服装，比例可读、双手有形；非人形CG按原设定，不能人形化。空间母版写人尺度、入口动线、前中后景、门窗桌椅固定关系、功能器物与光向；支撑落地，旧墙局部修补，不空成泥墙或宫殿。道具保持用途、尺度、连接和支撑，材质与主人身份相符；虚构武器不增加制造参数配方。
实际首帧以0秒人物/群演数量位置姿态为准；不能为审美添加人、改变动作时序或让尚未登场角色提前出现。角色和地点参考资产用于锁定既有特征，不能靠统一美术词篡改原图。详细首帧/导演规则优先。生成成功不代表图已审阅；只把实际可见结果记为候选，保留旧批准图，由用户确认后采用。
可维护来源与审阅模板见前端仓库skills/short-drama-asset-aesthetics，官方馆藏与GitHub渲染参考分开；公开页面不意味着素材再分发许可。
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.
- 12d ago First seen · 12 lines · 0 tokens per session scan A d71a16d1f577
asset-aesthetics is a skill published in the GitHub repository ageerle/ruoyi-ai (5,756 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 554 tokens. 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 2026-10-04.
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