minimal-run-and-audit

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Original

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Translation

Chinese

minimal-run-and-audit

minimal-run-and-audit

When to apply

适用场景

  • After a reproduction target and setup plan exist.
  • When the main skill needs execution evidence and normalized outputs.
  • When a smoke test, documented inference run, documented evaluation run, or training startup verification is appropriate.
  • When the user already knows what command should be attempted and wants execution plus reporting only.
  • 已确定复现目标和搭建方案后
  • 主技能需要执行证据和标准化输出时
  • 适合执行冒烟测试、文档记载的推理运行、文档记载的评估运行或训练启动验证时
  • 用户已明确需要尝试的命令,仅需要执行和报告能力时

When not to apply

不适用场景

  • During initial repo scanning.
  • When environment or assets are still undefined enough to make execution meaningless.
  • When the task is a literature lookup rather than repository execution.
  • When the user is still deciding which reproduction target should count as the main run.
  • 初始仓库扫描阶段
  • 环境或资产仍未明确定义,执行无意义时
  • 任务为文献检索而非仓库执行时
  • 用户仍在确定将哪个复现目标作为主运行项时

Clear boundaries

明确边界

  • This skill owns normalized reporting for an attempted command.
  • It may receive execution evidence from the main skill or a thin helper.
  • It does not choose the overall target on its own.
  • It does not perform broad paper analysis.
  • It should not normalize risky code edits into acceptable practice.
  • 本技能负责为尝试执行的命令生成标准化报告
  • 可接收来自主技能或轻量辅助工具的执行证据
  • 不会自主选择整体目标
  • 不执行广泛的论文分析
  • 不应将风险代码编辑规范为可接受实践

Input expectations

输入要求

  • selected reproduction goal
  • runnable commands or smoke commands
  • environment and asset assumptions
  • optional patch metadata
  • 选定的复现目标
  • 可运行命令或冒烟测试命令
  • 环境和资产假设
  • 可选的补丁元数据

Output expectations

输出要求

  • execution result summary
  • standardized
    repro_outputs/
    files
  • clear distinction between verified, partial, and blocked states
  • PATCHES.md
    when repo files changed
  • 执行结果汇总
  • 标准化的
    repro_outputs/
    目录文件
  • 对已验证、部分完成、受阻状态的清晰区分
  • 仓库文件变更时生成
    PATCHES.md
    文件

Notes

注意事项

Use
references/reporting-policy.md
and
scripts/write_outputs.py
.
使用
references/reporting-policy.md
scripts/write_outputs.py