anomaly-detection

Installation
SKILL.md

Anomaly Detection

Rule-based anomaly detection with cooldowns and error pattern tracking.

When to Use This Skill

  • Detecting slow job degradation before failures
  • Tracking error rate creep over time
  • Identifying repeated error patterns
  • Preventing alert fatigue with cooldowns

Core Concepts

Production systems fail in subtle ways - jobs getting slower, error rates creeping up, same errors repeating. The solution:

  1. Configurable rules with severity levels
  2. Cooldown periods to prevent alert storms
  3. Error pattern tracking for repeated failures
  4. Violation decay to reward recovery
Related skills
Installs
22
GitHub Stars
780
First Seen
Jan 25, 2026