minimal-run-and-audit
bylllllllama· 44 skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized repro_outputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
How to install minimal-run-and-audit?
lllllllama/rigorpilot-skills/minimal-run-and-audit
$npx -y skills add lllllllama/rigorpilot-skills --skill minimal-run-and-auditInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/lllllllama/rigorpilot-skills" --skill "lllllllama/rigorpilot-skills/minimal-run-and-audit"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/lllllllama/rigorpilot-skills" that are relevant to the current task. Run `npx skills add "https://github.com/lllllllama/rigorpilot-skills"` and select the relevant skills, then follow their instructions.
SKILL.md
| 1 | # minimal-run-and-audit |
| 2 | |
| 3 | Use this as the Rigor Run skill. The installed slug remains |
| 4 | `minimal-run-and-audit` for compatibility. |
| 5 | |
| 6 | Use the shared operating principles in |
| 7 | `../../references/agent-operating-principles.md`; this skill should make run |
| 8 | evidence auditable without turning every command into a rigid protocol. |
| 9 | |
| 10 | ## When to apply |
| 11 | |
| 12 | - After a reproduction target and setup plan exist. |
| 13 | - When the main skill needs execution evidence and normalized outputs. |
| 14 | - When a smoke test, documented inference run, documented evaluation run, or other short non-training verification is appropriate. |
| 15 | - When the user already knows what command should be attempted and wants execution plus reporting only. |
| 16 | |
| 17 | ## When not to apply |
| 18 | |
| 19 | - During initial repo scanning. |
| 20 | - When environment or assets are still undefined enough to make execution meaningless. |
| 21 | - When the task is a literature lookup rather than repository execution. |
| 22 | - When the user is still deciding which reproduction target should count as the main run. |
| 23 | |
| 24 | ## Clear boundaries |
| 25 | |
| 26 | - This skill owns normalized reporting for an attempted command. |
| 27 | - It may receive execution evidence from the main skill or a thin helper. |
| 28 | - It does not choose the overall target on its own. |
| 29 | - It does not perform broad paper analysis. |
| 30 | - It does not own training startup, resume, or long-running training state. |
| 31 | - It should not normalize risky code edits into acceptable practice. |
| 32 | - It must not hide changes that alter evaluation, preprocessing, checkpoints, |
| 33 | metrics, or other scientific meaning. |
| 34 | |
| 35 | ## Input expectations |
| 36 | |
| 37 | - selected reproduction goal |
| 38 | - runnable commands or smoke commands |
| 39 | - environment and asset assumptions |
| 40 | - optional patch metadata |
| 41 | |
| 42 | ## Output expectations |
| 43 | |
| 44 | - execution result summary |
| 45 | - standardized `repro_outputs/` files |
| 46 | - `SCIENTIFIC_CHANGELOG.md` for changed scientific meaning and evidence status |
| 47 | - `COMPARABILITY_REPORT.md` for README/paper/baseline comparability |
| 48 | - clear distinction between verified, partial, and blocked states |
| 49 | - `PATCHES.md` when repo files changed |
| 50 | |
| 51 | ## Notes |
| 52 | |
| 53 | Use `references/reporting-policy.md`, `../../references/research-rigor-principles.md`, `scripts/run_command.py`, and `scripts/write_outputs.py`. |
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