anomaly-detector

Quick Review

This skill is extremely vague and underdeveloped. The description is circular ('anomaly detector' triggers on 'anomaly detector') without explaining what anomaly detection actually does or how it works. There is no concrete task knowledge - no algorithms, statistical methods, thresholds, or implementation details for detecting anomalies in data. The structure is clean but hollow, offering only generic placeholders without substance. Novelty is low because anomaly detection (identifying outliers using statistical methods, ML models, etc.) is a well-established problem that a capable CLI agent could handle with standard libraries. The skill provides no meaningful reduction in complexity or tokens - it lacks actual methodology, code examples, or domain-specific guidance that would make it useful for anomaly detection tasks.