kwongfuk/codex-skills/repro-record-workflow

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Run research/paper/code reproduction tasks with strict execution logging. Use when requests involve reproducing results, debugging training/evaluation pipelines, Slurm/HPC experiments, dataset/model setup, or iterative small-task execution where every subtask must be written to a repository-level CODEX_RECORD.md.

Install

npx vskill@latest install kwongfuk/codex-skills/repro-record-workflow

SKILL.md

Repro Record Workflow

Keep reproduction work and record-keeping coupled:

  1. Execute a concrete subtask.
  2. Validate outcome quickly (logs, test, job status, artifact path).
  3. Append one concise record entry to CODEX_RECORD.md.

Workflow

  1. Locate record file:
  1. Split request into small subtasks:
  • Keep each subtask independently verifiable.
  • Prefer one observable output per subtask (job id, file diff, command result).
  1. Apply storage policy before execution:
  • keep repository files under /home focused on code, configs, CODEX_RECORD.md, and standard lightweight experiment results
  • keep datasets, caches, model weights, checkpoints, raw intermediates, and other large artifacts under /scratch
  • if a result directory is large, store the primary artifact on scratch and record the absolute scratch path in Evidence
  1. Execute subtask:
  • Apply environment/config/code changes.
  • For training launchers or checkpoint logic, also apply exact-training-resume-guard.
  • Run minimal verification.
  1. Update record immediately:
  • Use scripts/update_codex_record.py.
  • One entry per completed/failed subtask.
  • Include blockers and next action if failed.
  1. Repeat:
  • Never batch many subtasks into one record entry.

Record Rules

  1. Use timestamped entries (script default).
  2. Include these fields:
  • Task
  • Status
  • Summary
  • Evidence
  • Next
  1. Keep entries short and factual.
  2. Use absolute paths/job ids in Evidence.
  3. If a training run is only restartable from model weights rather than exactly resumable, record that limitation explicitly instead of calling it a resume checkpoint.

Commands

Create or append entry:

bash
python ~/.codex/skills/repro-record-workflow/scripts/update_codex_record.py \
--record /path/to/repo/CODEX_RECORD.md \
--task "Run smoke preflight on A100 node" \
--status failed \
--summary "Import failed in trainer package" \
--evidence "Job 10087183; log: /path/gui_g2_smoke-10087183.out" \
--next "Patch missing import and resubmit smoke test"

Create record file if missing:

bash
cp ~/.codex/skills/repro-record-workflow/references/record-template.md /path/to/repo/CODEX_RECORD.md

Security

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Source

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