Use when proactively scanning for cost anomalies, unusual spending, unexpected charges, or irregular patterns — during weekly reviews, after incidents, or when something looks off
63
44%
Does it follow best practices?
Impact
100%
1.25xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/cost-analyst/skills/cost-anomaly-detection/SKILL.mdMath-in-code compliance
Mean calculated in code
100%
100%
Std dev in code
100%
100%
2-sigma threshold applied
100%
100%
Percentage change in code
100%
100%
Z-score computed in code
100%
100%
Permitted stdlib only
100%
100%
Data bound to variables
100%
100%
Rate-of-change in code
100%
100%
Anomaly count from code
100%
100%
Script executed or shown
100%
100%
Complete report format compliance
Executive Summary fields
33%
100%
Anomaly type taxonomy
90%
100%
Severity classification present
87%
100%
Detailed anomaly entry format
20%
100%
Anomaly Dashboard — category table
0%
100%
Anomaly Dashboard — dimension table
0%
100%
False Positive Assessment
0%
100%
Baseline Comparison statistical analysis
70%
100%
Action Plan three-part structure
50%
100%
Deviation in std devs stated
100%
100%
Security and waste indicator detection
Security indicators identified
100%
100%
Waste patterns identified
100%
100%
50% account threshold applied
60%
100%
Security section separate
100%
100%
Waste section separate
100%
100%
Unusual region flagged
100%
100%
Security action recommended
100%
100%
Waste savings quantified in code
100%
100%
Misconfiguration pattern checked
100%
100%
High severity for security
100%
100%
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Table of Contents
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