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Observe Metrics

技能 已验证 活跃
属于:Ruflo Observability

Aggregate and display system metrics with anomaly detection for a time period

目的

To provide users with a clear and actionable snapshot of system health by aggregating metrics and identifying anomalies, enabling quick detection of performance degradation.

功能

  • Aggregate system metrics (counters, gauges, histograms)
  • Detect anomalies based on historical baselines
  • Report on metric deviations, direction, and severity
  • Compute overall health score
  • Store metric patterns for future reference

使用场景

  • Monitor swarm performance by tracking task completion and error rates
  • Detect degradation in active agent counts or memory usage
  • Identify unusual token consumption patterns
  • Analyze time-series data for performance trends

非目标

  • Real-time, second-by-second monitoring
  • Long-term trend analysis beyond the specified period
  • Automated remediation of detected anomalies

工作流

  1. Retrieve metrics using `mcp__claude-flow__memory_search` or `memory_list` for the specified period.
  2. Aggregate counters, gauges, and histograms.
  3. Compute baselines using `mcp__claude-flow__agentdb_pattern-search`.
  4. Flag anomalies based on deviation from baselines.
  5. Store patterns using `mcp__claude-flow__agentdb_pattern-store` or `memory_store`.
  6. Display metric name, value, baseline, deviation, trend, anomaly flag, and overall health score.

实践

  • Observability
  • Anomaly Detection
  • System Monitoring

先决条件

  • Claude Code environment
  • Access to `mcp__claude-flow__memory_search`
  • Access to `mcp__claude-flow__memory_list`
  • Access to `mcp__claude-flow__agentdb_pattern-search`
  • Access to `mcp__claude-flow__agentdb_pattern-store`

安装

请先添加 Marketplace

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-observability@ruflo

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交1 day ago
GitHub 所有者 ruvnet (opens in new tab)
星标50.2k
下载量 68.3k (opens in new tab)
许可证MIT
网站cognitum.one(opens in new tab)
状态
查看源代码

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