Anomaly Detector - Auto-activating skill for Data Analytics. Triggers on: anomaly detector, anomaly detector Part of the Data Analytics skill category.
35
Quality
3%
Does it follow best practices?
Impact
93%
0.97xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/12-data-analytics/anomaly-detector/SKILL.mdSQL-based anomaly detection
SQL approach used
100%
100%
Statistical method in SQL
100%
100%
Step-by-step structure
100%
100%
Production-ready SQL
100%
100%
Schema adherence
100%
100%
Validation query included
30%
0%
Industry best practice method
100%
100%
Anomaly flag output
100%
100%
Documentation included
100%
100%
Without context: $0.3554 · 1m 40s · 15 turns · 16 in / 6,113 out tokens
With context: $0.5383 · 2m 21s · 24 turns · 23 in / 9,041 out tokens
Statistical analysis and visualization
Statistical method applied
100%
100%
Production-ready Python
100%
100%
Visualization generated
100%
100%
Anomaly output file
100%
100%
Step-by-step structure
70%
70%
Validation step present
70%
100%
Industry best practice
100%
90%
Uses provided data
100%
100%
Threshold documented
100%
100%
Without context: $0.3264 · 1m 18s · 19 turns · 20 in / 4,615 out tokens
With context: $0.5952 · 2m 2s · 32 turns · 65 in / 7,322 out tokens
Business intelligence anomaly reporting
BI-style summary report
100%
100%
KPI metrics highlighted
100%
100%
Statistical method applied
100%
100%
Production-ready code
100%
91%
Step-by-step documentation
100%
80%
Validation step present
100%
80%
Visualization included
100%
100%
Anomalies output file
100%
100%
Industry best practice patterns
100%
100%
Without context: $0.8131 · 3m 29s · 33 turns · 32 in / 13,105 out tokens
With context: $0.7250 · 3m 8s · 32 turns · 287 in / 10,623 out tokens
0c08951
Table of Contents
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