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liucong-model-eval

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初始化并执行可追溯的模型对照测评，支持权威视觉 benchmark 子集、用户自有题库和前后端真实任务；固定题面、隔离工具、保留首轮产物并验收。用于从零搭建测评环境、按个人题库跑测、同题比较模型或整理测评报告。

skills/liucong-model-eval/SKILL.md

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# 刘聪模型测评

用固定题目测试真实接入的模型，区分模型回答、生成状态和实际验收。调度 Agent 不替被测模型答题，也不把自己修好的页面记成模型首轮成绩。本包按刘聪式实测方法组织，内置题是原创演示题，不是刘聪完整私有题库或官方榜单。

## 先识别当前情况

- **第一次使用 / 缺软件 / 缺 Key**：读 [初始化](references/initialization.md)，从环境检查开始。不要假设别人的电脑已经配置好；不要沿用演示机路径。随包执行器支持 macOS，其他系统未提供已验证适配器，不降级为无隔离执行。
- **用户已经有题库或偏好**：先用用户指定的题面、图片和评分方式，读 [自有题库与偏好](references/question-bank.md)。不擅自改题，不用演示题顶替。
- **用户要找权威题 / benchmark**：读 [题源目录](references/benchmark-sources.md)，从作者/机构官方渠道获取原题，冻结版本、题号、图片和答案。少量抽测称“某 benchmark 子集”，不得标成完整 benchmark 分数。
- **只说“简单测一下”**：沿用已保存偏好；没有偏好时用内置简单演示题，默认最多3题、先1个模型。手机指令不自动扩大成长任务。

所有下列命令从本 Skill 文件夹执行；路径有空格时用双引号引用，或使用程序参数数组。脚本路径相对 Skill，自定义题库路径相对该题库。

## 初始化与凭据
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