Anomaly Detection
This Anomaly Detection skill identifies unusual patterns in data, alerting you to potential problems and improving system monitoring.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add anomaly-detection npx -- -y @trustedskills/anomaly-detection
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"anomaly-detection": {
"command": "npx",
"args": [
"-y",
"@trustedskills/anomaly-detection"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill identifies unusual patterns or data points within a dataset. It can detect outliers, unexpected changes in trends, and deviations from established norms. The skill is designed to highlight anomalies that may warrant further investigation or action based on the specific context of the data being analyzed.
When to use it
- Fraud Detection: Identify suspicious transactions that deviate from typical user behavior.
- Network Security: Detect unusual network traffic patterns indicative of potential intrusions.
- Predictive Maintenance: Flag equipment readings outside normal ranges, suggesting a need for maintenance.
- Sales Analysis: Spot unexpected drops or spikes in sales figures that require explanation.
Key capabilities
- Outlier detection
- Trend deviation analysis
- Pattern recognition
- Data anomaly identification
Example prompts
- "Analyze this dataset of server logs and flag any unusual activity."
- "Identify anomalies in the daily temperature readings for the past month."
- "Find any transactions that deviate significantly from a customer's usual spending habits."
Tips & gotchas
The skill’s effectiveness depends on the quality and completeness of the input data. Ensure your dataset is properly formatted and contains sufficient historical information to establish baseline patterns.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.