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 github-higgsfield-style-librarygit 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/github-higgsfield-style-library)<a href="https://agentmods.dev/skills/ageerle/ruoyi-ai/github-higgsfield-style-library"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/github-higgsfield-style-library/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/github-higgsfield-style-library"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/github-higgsfield-style-library.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 | $0.00542 |
| Opus 5.5 | $0.00000 | $0.00217 |
| Sonnet 5.5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
github-higgsfield-style-library 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 3d 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
影视风格 · 题材与视觉方法库
风格路由
先区分电影写实、三维 CG、二维手绘、漫画运动、动漫动作以及产品广告。每类方法按当前故事和制作方向选用，不能把广告展示、两秒开场或技术术语当成短剧统一规范。
查阅与应用
从风格中提取可审阅的决定：人物比例、造型层次、材料反光、色板、空间深度、线条与光源。镜头方法说明如何让观众看清事件，声音说明如何支持变化；不靠精美、大片、8K 等词替代这些决定。 电影、CG、手绘、漫画运动和动漫的项目适配条目分别保存在审美分类，可按实际方向选择。其他电商、品牌、时装、食物和建筑条目只作相关场景参考，不进入默认短剧生成。 上游对输出分辨率、帧率、同步准确性和渲染引擎的描述不代表本项目供应商能力。没有完整影片或同配置实验时，保持方法参考的证据级别。
接入范围
本条归视觉风格，在资产配置中选中后，根据当前题材提炼统一的造型、材质、色彩与光影方向，不混用资料库内的全部画风。公开仓库未核到明确再分发许可，正文为本项目自主编写的方法，来源只登记链接、提交和阅读范围，不打包上游全文或媒体。
项目接入边界
本技能提供当前阶段的制作方法，沿用项目现有数据、输出结构、模型目录与内容审阅。用户原文、已批准资产和当前项目决定优先；来源示例不是本剧事实。模型参数与参考语法交给本项目实际供应商适配，不从旧手册推定平台能力。 首帧按需使用，不是生成前置条件；不默认补图。视频正文采用连续导演描述，时长预算独立保存为 timing。写作、修订和技能安装不会提交付费图片、视频、配音或音乐任务。附属脚本仅作文本资料。 修订已有分镜保留已批准图片、连续性、素材任务编号和制作版本；当前只处理有问题的阶段。结构检查、任务完成与成片画面、运动和声音验收分别记录。
What ships with it
2 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.
- 3d ago First seen · 22 lines · 0 tokens per session scan A a1b002fc906c
github-higgsfield-style-library is a skill published in the GitHub repository ageerle/ruoyi-ai (5,773 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 542 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 2026-10-21.
Other skills, from other repositories
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.
surfsense-documents
Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
surfsense-data
Work out numbers from spreadsheet and CSV sources (.xlsx, .csv, .tsv) by writing a pandas script that surfsenseanalyzedata runs: totals, averages, trends, rankings, comparisons, cleaning, and charts that can go into a document. Load it whenever the user asks for figures from a table, or a chart of one.
video
Create polished narrated MP4 videos with Remotion in the sandbox.
memory-rag-poisoning-detection
Detect persistent-memory poisoning and RAG/knowledge-base contamination via dialogue testing. Use when the agent has long-term memory, a user/preference store, or writes to a retrievable knowledge base.
Create polished PDF files for requests such as PDFs, resumes, CVs, reports, letters, one-pagers, and printable documents.