Initial release: NAGI BENCH eval showcase

One-shot LLM eval cases with a bilingual (zh/EN) showcase site:
Vite + React + Tailwind v4 + GSAP, built with bun, deployed to
GitHub Pages. Ships two Claude Fable 5 Max cases (Mythos Craft
voxel game, pelican-by-the-sea SVG) with placeholder slots for
GPT-5.1, Gemini 3 Pro, DeepSeek V3.2 and Qwen3 Max.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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# NAGI BENCH
NAGI STUDIO 的 LLM 测评案例集:同一段提示词,不同模型,一次生成、不许返工,并排对比它们交出的可运行作品。
One-shot LLM eval cases by NAGI STUDIO: same prompt, different models, one attempt and no retries — a side-by-side record of the runnable artifacts they ship.
**Live site:** https://nagi-studio.github.io/nagi-bench/
## 结构 / Structure
```
outputs/<model-id>/<artifact> 模型产出原文件(HTML / SVG),按模型分目录
site/ 展示站点(Vite + React + Tailwind v4 + GSAP,bun 驱动)
site/src/data/cases.ts 案例定义:双语提示词、模型列表、产出文件映射
.github/workflows/deploy.yml GitHub Pages 自动部署
```
## 本地开发 / Development
```bash
cd site
bun install
bun run dev # 同步 outputs/ 并启动 http://localhost:5173/nagi-bench/
bun run build # 类型检查 + 产物构建(输出到 site/dist)
```
## 添加案例或模型 / Adding a case or model
1. 把产出文件放进 `outputs/<model-id>/`。
2. 在 `site/src/data/cases.ts` 里登记:
- 新模型:加入 `MODELS`(`status: 'ran' | 'pending'`)。
- 新案例:加入 `CASES`(中英双语 `title` / `tagline` / `prompt`)。
- 产出映射:在 `OUTPUTS` 里把案例 id 对应到模型 id 与文件路径。
3. 推送到 `main`,GitHub Actions 自动构建并部署。
Drop the artifact into `outputs/<model-id>/`, register it in `site/src/data/cases.ts` (model in `MODELS`, case in `CASES` with bilingual prompts, file path in `OUTPUTS`), then push to `main` — GitHub Actions deploys automatically.