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-seedance-consistencygit 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-seedance-consistency)<a href="https://agentmods.dev/skills/ageerle/ruoyi-ai/github-seedance-consistency"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/github-seedance-consistency/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-seedance-consistency"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/github-seedance-consistency.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 | $0.00802 |
| Opus 5.5 | $0.00000 | $0.00321 |
| Sonnet 5.5 | $0.00000 | $0.00160 |
| Haiku 4.5 | $0.00000 | $0.00080 |
Grade A, and why
github-seedance-consistency 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
Seedance · 一致性与续段提示词
参考职责
身份、地点、动作、摄影和声音分别说明参考来源。本镜实际出场和发言人以剧本为准；背景人物与画外声单独核对，参考画面中的无关内容不进入本剧。
连续动作
把本段主要变化拆成有先后和受力关系的行动，说明刺激如何引起人物回应。正文连续叙述，不沿用来源的逐秒清单。过程复杂时分配内部 timing 和并行关系，再让摄影跟随信息变化。 相邻段落交接具体姿态、位置、手物接触、物件状态和运动方向；已经完成的动作不重复，已发生的结果不撤销。延长和编辑需要所选接口真实支持，不能因为技能写到该能力就自动调用。 声音区分原对白、环境底声、动作拟音和音乐意图，对白保持角色归属。口型问题先查声源与画面注意重点，再调整机位或提示词，不能未经授权删改对白。
局部返修
记录失败的镜号与观察，将问题落到素材职责、动作、摄影或声音中的具体一项。仅调整失败单元，保留其他已批准结果。平台示例只能启发方法，不能被当成当前模型的参数或实测结果。
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。
进出门与参考职责
场景母图约束建筑、陈设和材料，其摄影机所在一侧、门的开合和参考人物站位不自动成为本镜起点。生成前对照前段实际末态，说明参考负责什么；若母图视角与入场方向冲突，优先写清实际起始构图，按需关闭该图或改用已审阅画面，不默认新增付费图片。 跨门段交接人物在门内外的真实位置、门扇状态、锁钥匙去向与运动方向。开门和跨门分别核对；未入屋不提前出现在室内目标旁，已完成入场不重演，后续离场不提前。
进出动作审片
入场和离场对照前镜末态、开锁、门扇运动、跨门和抵达的完整运动及后镜起点。判断依据是人从哪一侧走到哪一侧，不能只凭门向内或向外开判断。抽一帧或结构检查只支持局部结论；重要跨门动作需连续播放或密集帧核查，记录未核查的运动与声音范围。返修保留其他通过素材，剪辑验证切口没有截断原对白或提前插入离场。
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 · 32 lines · 0 tokens per session scan A bcfb7d2eeeba
github-seedance-consistency 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 802 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.