Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).
How to install anomaly-alert?
hoangsonww/claude-code-agent-monitor/anomaly-alert
$npx -y skills add hoangsonww/claude-code-agent-monitor --skill anomaly-alertInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/hoangsonww/claude-code-agent-monitor" --skill "hoangsonww/claude-code-agent-monitor/anomaly-alert"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/hoangsonww/claude-code-agent-monitor" that are relevant to the current task. Run `npx skills add "https://github.com/hoangsonww/claude-code-agent-monitor"` and select the relevant skills, then follow their instructions.
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