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 chinese-3d-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/chinese-3d-aesthetics)<a href="https://agentmods.dev/skills/ageerle/ruoyi-ai/chinese-3d-aesthetics"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/chinese-3d-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/chinese-3d-aesthetics"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/chinese-3d-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 | $0.00462 |
| Opus 5.5 | $0.00000 | $0.00185 |
| Sonnet 5.5 | $0.00000 | $0.00092 |
| Haiku 4.5 | $0.00000 | $0.00046 |
Grade A, and why
chinese-3d-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
国风三维资产审美
适用于国风三维动画；服饰和建筑按当前项目年代、地域、身份、年龄与发展阶段制作，不默认所有项目都是明代。现代序幕仍采用现代服饰与空间形制。
先建立人物的可辨轮廓、眉骨鼻梁颧颌体积与年龄，再定主辅点睛色和材质。人物拥有不同脸形、体型、发束和衣纹受力，眼睛明亮但不过大，受控皮肤散射，不做蜡像、网红尖下巴或真人写真皮肤。角色身份参照是同一身份，构图按当前资产描述明确选择单幅全身或多视角，不把参照布局套入实际首帧。
衣服写清帽、领、叠襟、袖、腰带、下摆、鞋和纹样的结构及身份依据。棉麻漫反射，绸用窄柔高光，皮革具厚度和局部磨损，铁冷灰、铜暖褐，木材按构造和适度纹理表达。贫穷是普通材料、局部修补、少量功能陈设，不是遍身泥污破洞；富裕不等于满屏金雕。
无人物空间参照建立人尺度、出入口、通行区、前中后景、门窗桌椅固定关系、功能器物和可信光向。保持当前建筑规模和成长阶段，不把贫县改成宫殿，不让早期苗床成为成熟丰收。物品接合和支撑落地，器形按用途，不新增虚构武器制造配方。
实际首帧严格遵守当前0秒演员、匿名群演人数、位置、姿态、手中物、CG比例及当前镜头光色；既有批准参考锁身份和建筑几何，不能因审美改脸、镜像、换装、加人或提前演结果。新候选只有实际逐张审阅并选用后才纳入连续性。
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.
- 12d ago First seen · 12 lines · 0 tokens per session scan A 86b1c0abb1d1
chinese-3d-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 462 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.
Other skills, from other repositories
web-design-engineer
Build or redesign polished browser-rendered visual artifacts with HTML/CSS/JavaScript/React: pages, dashboards, prototypes, slide decks, animations, UI mockups, and data visualizations. Use for visual front-end creation, design-system exploration, design critique, or explicit browser acceptance / QA of a web artifact.…
browserwing-executor
Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.
wegent-knowledge
Knowledge base management and search tools for Wegent. Provides capabilities to list, create, update, and search knowledge bases and documents using RAG retrieval. Use this skill when the user wants to manage knowledge bases, documents, or search for information programmatically.
always-on-agent-inputs
How to design contextual inputs for an always-on AI agent with episodic memory. Covers what data to feed the agent, how to structure observations and triggers, ambient context capture (screen, audio, calendar), context window budgeting, and retrieval strategies that keep the agent grounded in what's actually…
3d-web-experience
Use when building or debugging web 3D scenes, product configurators or portfolios with Three.js, React Three Fiber or Spline; review assets, loading, controls, fallbacks and performance.
ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.