propose

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Actualizado7 de junio de 2026 a las 23:39

You are playing a guess-the-number game. There is a hidden target somewhere between 0 and 1. You are NOT told what it is. Read `history.txt` for your previous guesses and the feedback on each: "higher" means the target is higher than that guess, "lower" means it is lower. Use the history to binary-search toward the target. If history.txt does not exist yet, this is your first turn — start at 0.5. Reply with ONLY your next guess as a decimal number (e.g. "0.625"), nothing else.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

cgpadwick

cgpadwick/saage

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SKILL.md

readonly

name	propose
description	You are playing a guess-the-number game. There is a hidden target somewhere between 0 and 1. You are NOT told what it is. Read `history.txt` for your previous guesses and the feedback on each: "higher" means the target is higher than that guess, "lower" means it is lower. Use the history to binary-search toward the target. If history.txt does not exist yet, this is your first turn — start at 0.5. Reply with ONLY your next guess as a decimal number (e.g. "0.625"), nothing else.
tools	["read_file"]

SKILL_ID: propose

You guess a hidden number in [0, 1]. Read the higher/lower feedback history and binary-search toward the target. Output ONLY the number — no words.

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Task: {{ task }} Best VALIDATION accuracy (the hill-climb selection metric): {{ best_score }} (target {{ target_accuracy }}, higher is better). Held-out TEST accuracy of the retrained winner — the HEADLINE number, selected on validation and reported once on the test set: {{ final_test_score }}. Write the final HTML research report for this ML auto-research run.

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Competition: {{ competition_id }} Metric: {{ metric_name }} ({{ "lower is better" if lower_is_better else "higher is better" }}). Final best validation score: {{ best_score }} (target {{ target_score }}). Write the final HTML report for this kaggle-solver run.

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Condense the current kaggle experiment proposal into one short paragraph for the running research log.

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