Individual skill
exp-run
实验执行全流程:准备代码 → 部署运行(运行前需向用户确认,申请用户手动检查) → 监控状态 → 收集结果,支持三种运行模式
i18n/zh/skills/exp-run/SKILL.md
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,729
- Repository last updated
- Oct 30, 2026
- License
- MIT
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- engineering Derived category
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Read excerpt
# /exp-run
> 执行 wiki/experiments/ 中已规划的实验。
> **不论是哪种运行模式,在准备好实验代码,准备部署运行前需向用户确认,申请用户手动检查代码、实验配置(如数据集路径,接口参数选择,API 配置等)相关信息,确认无误后运行,否则需执行修改直到用户确认执行**
> **三种运行模式**,适应不同场景:
> - **默认(deploy)**:仅 Phase 1-2,部署后立即返回,适合需要数小时/天的实验。
> - **`--collect`**:仅 Phase 3-4,检查已部署实验是否完成,完成则收集结果(`--check` 为 alias)。
> - **`--full`**:完整 Phase 1-4,适合几分钟内即可完成的本地快速实验。
>
> 推荐流程:`/exp-run <slug>` 部署 → `/exp-status` 监控 → `/exp-run <slug> --collect` 收集。
## Inputs
- `experiment`:wiki/experiments/ 中的 slug