🇺🇸English

minimal-run-and-audit

When to apply

• 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.

When not to apply

• 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.

Clear boundaries

• 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.

Input expectations

• selected reproduction goal
• runnable commands or smoke commands
• environment and asset assumptions
• optional patch metadata

Output expectations

• execution result summary
• standardized repro_outputs/ files
• clear distinction between verified, partial, and blocked states
• PATCHES.md when repo files changed

Notes

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

Weekly Installs

253

Repository

lllllllama/ai-p…on-skill

GitHub Stars

1

First Seen

Today

Security Audits

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Installed on

amp253

cline253

opencode253

cursor253

continue253

kimi-cli253