Ejecuta cualquier Skill en Manus
con un clic

Ejecuta cualquier Skill en Manus con un clic

lemma-review

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Actualizado15 de julio de 2026 a las 00:47

Review a notebook or analysis for correctness, reproducibility, leakage, weak validation, unsupported claims, and misleading communication.

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tkpratardan

tkpratardan/lemma

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Científicos de datosOcupaciones informáticas y matemáticas·SOC 15-2051

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SKILL.md

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name	lemma-review
description	Review a notebook or analysis for correctness, reproducibility, leakage, weak validation, unsupported claims, and misleading communication.

Review an analysis

Deliver

Return findings ranked by severity, with concrete evidence, consequence, and a specific correction. Distinguish correctness defects from optional improvements.

Check

Reconstruct the requested estimand or prediction target, observation unit, population, and time boundary.
Verify source identity, units, joins, missing-data handling, and preservation of raw inputs.
Check execution order and whether reported values are reproduced by current cells.
Audit splits, preprocessing, metrics, uncertainty, subgroup behavior, leakage, and causal language as applicable.
Confirm that tables and figures use honest denominators, labels, scales, and uncertainty.

Do not rewrite the analysis merely for style, accept a clean-looking notebook as proof, or report only aggregate metrics when a material group failure is visible.

For detailed review patterns, read references/deep-guide.md.

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Audit a dataset or pipeline for the five leakages that inflate a metric: target, preprocessing, temporal, group, and sampling.

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name	lemma-review
description	Review a notebook or analysis for correctness, reproducibility, leakage, weak validation, unsupported claims, and misleading communication.

Review an analysis

Deliver

Return findings ranked by severity, with concrete evidence, consequence, and a specific correction. Distinguish correctness defects from optional improvements.

Check

Reconstruct the requested estimand or prediction target, observation unit, population, and time boundary.
Verify source identity, units, joins, missing-data handling, and preservation of raw inputs.
Check execution order and whether reported values are reproduced by current cells.
Audit splits, preprocessing, metrics, uncertainty, subgroup behavior, leakage, and causal language as applicable.
Confirm that tables and figures use honest denominators, labels, scales, and uncertainty.

Do not rewrite the analysis merely for style, accept a clean-looking notebook as proof, or report only aggregate metrics when a material group failure is visible.

For detailed review patterns, read references/deep-guide.md.