Performance Anomaly Categorizer
「性能異常分類ツール」
Identify and categorize outliers in performance data with explanations and risk assessment
「パフォーマンスデータの外れ値を特定し、説明とリスク評価を伴う分類を行う」
Prompt
Act as a program analyst identifying performance issues. Find any outliers or anomalies in this dataset and explain what might be causing them. Group them into categories: likely explainable, needs investigation, or potential risk. Analyze the following: [PASTE HERE: raw metric table, error rates, or latency logs].