reason-about-quality
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更新时间2026年6月7日 04:17
Evaluate data quality from observed structure and summary evidence.
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用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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相关职业SOC
基于 SOC 职业分类
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Evaluate data quality from observed structure and summary evidence.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
Classify scientific dtype conversions by loss and safety risk.
| name | reason_about_quality |
| title | Reason About Quality |
| description | Evaluate data quality from observed structure and summary evidence. |
Use this skill to turn raw inspection results into quality findings. Check for missing values, impossible ranges, inconsistent units, duplicate identifiers, low sample counts, suspicious constants, and metadata gaps.
Keep quality judgments evidence-based. If the data is insufficient for a firm claim, report the uncertainty and the additional check needed.