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Attribute an HPC I/O regression from aligned metric evidence.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.
