anomaly-alert

SKILLFlujo de trabajocomunidad
v0.0.0hoangsonwwMITActualizado hace 5 dFuente →

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 scor

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
911Estrellas del repo
1Clientes
1Formatos
hace 5 dÚltima actualización
Skill
Autorhoangsonww
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
PromptAbrir (ver la pestaña Prompt)
Compatibilidad
Claude✓ Compatible
Cursor
Copilot
ChatGPT
Gemini
Acerca de

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, h

Palabras clave
skillclaude