Upload plugins/mlintern/skills/ml-intern-harness/scripts/preflight_check.py with huggingface_hub
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plugins/mlintern/skills/ml-intern-harness/scripts/preflight_check.py
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#!/usr/bin/env python3
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"""Print an HF Jobs preflight checklist for ML Intern Codex tasks."""
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from __future__ import annotations
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import argparse
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ITEMS = [
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"Private GitHub repo exists or creation plan recorded",
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"GitHub source branch/commit/PR identified",
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"Reference implementation/docs used",
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"Dataset repo/config/splits/columns verified",
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"Model repo/tokenizer/license/gating verified",
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"Smoke test completed",
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"Hardware choice and timeout justified",
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"Hub artifact output configured: push_to_hub or explicit upload",
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"Monitoring configured: Trackio/dashboard/logged metrics",
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"One-job-first plan for risky scripts or sweeps",
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]
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def main() -> None:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--task", default="<task>", help="Short task name")
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parser.add_argument("--job", default="<job name>", help="Planned HF Job name")
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args = parser.parse_args()
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print(f"HF Jobs preflight for {args.task} ({args.job})")
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for item in ITEMS:
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print(f"- [ ] {item}:")
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if __name__ == "__main__":
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main()
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