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Found 16 Skills
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
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.
Runtime security monitor for active OpenClaw skills. Watches file access, network calls, and shell commands. Flags anomalous behavior and enforces permission boundaries.
Expert in data forensics, anomaly detection, audit trail analysis, fraud detection, and breach investigation
Эксперт по CloudWatch алармам. Используй для настройки мониторинга AWS, метрик, порогов и уведомлений.
ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.
Investigate traffic anomalies, spikes, and service degradation on Cloudflare-protected domains. Uses Cloudflare MCP tools for GraphQL analytics, JA4 fingerprint analysis, bot/WAF security scoring, and incident reporting. Use this skill whenever traffic spikes, service overloads, 429 errors, circuit breaker events, Cloudflare analytics, or domain performance issues are mentioned — even if the user doesn't explicitly say "traffic spike". Also triggers when asked to check Cloudflare data for any domain.
Agent skill for performance-monitor - invoke with $agent-performance-monitor
Analyze system, application, and security logs for forensic investigation. Use when investigating security incidents, insider threats, system compromises, or any scenario requiring analysis of log data. Supports Windows Event Logs, Syslog, web server logs, and application-specific log formats.
Create comprehensive forensic timelines from multiple data sources. Use when reconstructing event sequences, correlating activities across sources, or visualizing incident progression. Supports super timeline creation and analysis.
Multi-year financial trend comparison, regression detection, and anomaly flagging for tax planning and audit risk assessment