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-drama-workflowgit 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-drama-workflow)<a href="https://agentmods.dev/skills/ageerle/ruoyi-ai/github-drama-workflow"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/github-drama-workflow/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-drama-workflow"><img src="https://agentmods.dev/badge/skills/ageerle/ruoyi-ai/github-drama-workflow.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 | $0.00601 |
| Opus 5.5 | $0.00000 | $0.00240 |
| Sonnet 5.5 | $0.00000 | $0.00120 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
github-drama-workflow 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
ZenStory · 分阶段制作流程
阶段路由
先识别输入是点子、原著、完整剧本、资产、分镜还是已有素材，读取项目真实状态，从缺失或有问题的阶段继续。创作事实使用项目已有数据库和版本记录，不建立与它并行的一套“真相”文件。
制作流程
原著分析和分集地图按需要建立；有完整剧本时直接进入资产与视觉决策。剧本负责事件、人物选择、对白和基调，视觉负责身份、造型、场景和道具状态，分镜负责观众信息、空间、切点和动作承接，提示词负责模型可执行的表演与声音。 每次交接写清已确定事实、尚待确认内容、实际素材和本次改动范围。人物主身份与服装版本分开，声音归属人物主身份，镜头持物和视线属于逐镜状态。图片计划与真实文件、生成完成与审阅通过各有状态。 媒体任务沿用项目当前模型、资产及已有提交恢复机制，保存原任务编号与参数。未知结果先查询同一次提交，不能因界面超时重复付费生成。 剪辑只使用真实生成素材，记录可用区间、入出点和取舍，字幕来自原对白，声音按真实时间线处理。保留原片及导出版，区分检查脚本、抽帧、ASR、全片运动观看和试听的证据。
返修与交付
返修回到问题所属阶段，保留其余已确认内容。检查镜间与跨集事实是否一致，再交付当前剧本、视觉、分镜、实际提示词、素材与检查记录；不得用一个目标时长或任务终态宣称已成片验收。
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 · 23 lines · 0 tokens per session scan A 45ce88d5a7e7
github-drama-workflow 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 601 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.
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