pattern-detection

Detect patterns, anomalies, and trends in code and data. Use when identifying code smells, finding security vulnerabilities, or discovering recurring patterns. Handles regex patterns, AST analysis, and statistical anomaly detection.

1.38x

Quality

78%

Does it follow best practices?

Impact

94%

1.38x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./.agent-skills/pattern-detection/SKILL.md

Evaluation results

92%

10%

Security Audit Preparation for a Python Web Application

Security vulnerability pattern detection

Criteria

Without context

With context

SQL injection detection

100%

Hard-coded secret detection

100%

AWS key pattern detection

100%

Dangerous function detection

100%

innerHTML XSS detection

100%

Report summary section

100%

Detected patterns table

25%

100%

Severity categorization

100%

Recommended actions

100%

False positive disclosure

50%

100%

No code modification

100%

No sensitive values logged

92%

Pre-Refactoring Code Quality Assessment

Code smell and technical debt detection

Criteria

Without context

With context

Long function identification

100%

Magic number detection

100%

TODO/FIXME/HACK/XXX detection

100%

Empty catch block detection

100%

Ignored exception detection

100%

Duplicate null-check pattern

Report summary section

100%

Severity-based organization

100%

Detected patterns table

100%

Recommended actions

100%

False positive acknowledgment

100%

No code modification

100%

59%

Sales Anomaly Investigation and Trend Reporting

Statistical anomaly detection and trend analysis

Criteria

Without context

With context

numpy/scipy Z-score method

100%

Z-score threshold=3

100%

IQR method implemented

77%

100%

IQR k=1.5

100%

pandas trend analysis

100%

7-day moving average

100%

30-day moving average

100%

Growth rate calculation

50%

100%

Trend direction reported

62%

100%

Anomaly dates identified

100%

Report false positive note

14%

100%

Volatility reported

100%

Repository: supercent-io/skills-template
Commit: c033769

Evaluated: 28 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Security Audit Preparation for a Python Web Application Pre-Refactoring Code Quality Assessment Sales Anomaly Investigation and Trend Reporting

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