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lllllllama/rigorpilot-skills

run-train

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

All-time installs310.5KObserved Sep 16, 2026
Trending · 24hNo observation in this view
Hot · last hourNo observation in this view

What you’re adding

This skill may reference tools or services you need to set up separately. The package check shows the exact files; it does not install dependencies or run scripts.

5 files in the provider snapshot
  • agents/openai.yaml331 B
  • references/training-policy.md1,097 B
  • scripts/run_training.py19.9K B
  • scripts/write_outputs.py1,173 B
  • SKILL.md2,529 B

Snapshot inspected Sep 15, 2026. Adding uses a fresh GitHub revision and checks it separately.

Your vault, your checks

  1. 01
    Inspect the source

    Review the exact revision, files and available capacity.

  2. 02
    Save a private Draft

    Run your vault’s security scan and complete any required review.

  3. 03
    Use the approved version

    Make it available through your existing agent connection.

Observed activity

All-time installs reported by skills.sh. Daily observations start when this catalog is first synchronized.

DateInstallsRank
Sep 9, 2026310,464#181
Sep 10, 2026310,466#181
Sep 11, 2026310,469#181
Sep 13, 2026310,472#181
Sep 14, 2026310,479#181
Sep 15, 2026310,480#181
Sep 16, 2026310,483#184