attribute-io-regression
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更新时间2026年6月7日 03:47
Attribute an HPC I/O regression from aligned metric 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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Attribute an HPC I/O regression from aligned metric 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.
Evaluate data quality from observed structure and summary evidence.
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.
| name | attribute_io_regression |
| title | Attribute I/O Regression |
| description | Attribute an HPC I/O regression from aligned metric evidence. |
Build the root-cause hypothesis from aligned evidence. Prefer explanations that account for the largest changed timings while remaining consistent with stable workload metrics.
State the confidence and caveats. If the evidence only supports a likely cause, say so. Mention follow-up measurements that would confirm the hypothesis.