minimal-run-and-audit

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Original

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Use this as the Rigor Run skill. The installed slug remains

minimal-run-and-audit

for compatibility.

Use the shared operating principles in

../../references/agent-operating-principles.md

; this skill should make run evidence auditable without turning every command into a rigid protocol.

将此用作Rigor Run skill。为保持兼容性，安装后的标识仍为

minimal-run-and-audit

。

遵循

../../references/agent-operating-principles.md

中的共享操作原则；此skill应使运行证据可审计，同时无需将每个命令都变成严格的协议。

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 other short non-training verification is appropriate.
When the user already knows what command should be attempted and wants execution plus reporting only.

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.

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 does not own training startup, resume, or long-running training state.
It should not normalize risky code edits into acceptable practice.
It must not hide changes that alter evaluation, preprocessing, checkpoints, metrics, or other scientific meaning.

execution result summary
standardized
```
repro_outputs/
```
files
```
SCIENTIFIC_CHANGELOG.md
```
for changed scientific meaning and evidence status
```
COMPARABILITY_REPORT.md
```
for README/paper/baseline comparability
clear distinction between verified, partial, and blocked states
```
PATCHES.md
```
when repo files changed

Use

references/reporting-policy.md

../../references/research-rigor-principles.md

scripts/run_command.py

, and

scripts/write_outputs.py

请使用

references/reporting-policy.md

、

../../references/research-rigor-principles.md

、

scripts/run_command.py

和

scripts/write_outputs.py

。