Anomaly Detection
by AaaS · open-source · Last verified 2026-03-27
Identifies deviations from normal system behavior across time-series telemetry data (CPU, memory, latency, error rates, request volumes). Uses statistical methods (z-score, IQR) and learned baselines to distinguish genuine anomalies from expected variance. A critical cross-foundry skill reused by SRE (F1), Fraud Detection (F6), and Supply Chain (F8) agents.
https://aaas.blog/skill/anomaly-detection ↗B
B—Above Average
Adoption: AQuality: AFreshness: A+Citations: B+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- statistical-anomaly-detection, baseline-learning, multi-metric-correlation, severity-scoring, false-positive-reduction
- Integrations
- prometheus, datadog, grafana, cloudwatch
- Use Cases
- incident-detection, fraud-detection, predictive-maintenance, capacity-planning
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- Supported Agents
- uc-sre-triage, uc-fraud-isolator, uc-predictive-maintainer
- Tags
- anomaly, detection, telemetry, statistical, ml, alerting
- Added
- 2026-03-27
- Completeness
- 100%
Index Score
66Adoption
80
Quality
85
Freshness
92
Citations
72
Engagement
0