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/observe-metrics

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

From plugin
claude-flow
67k200 skills157 agents194 commands1 MCP
Install
$ npx -y skills add ruvnet/claude-flow --skill observe-metrics --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/observe-metrics

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

observe-metrics.SKILL.md
name: observe-metrics
description: Aggregate and display system metrics with anomaly detection for a time period
argument-hint: "[--period 1h]"
allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store mcp__plugin_ruflo-core_ruflo__agentdb_semantic-route Bash

Observe Metrics

Aggregate counters, gauges, and histograms from the observability namespace and flag anomalies.

When to use

When you need a snapshot of system health -- task completion rates, error rates, active agent counts, memory usage, and token consumption. Useful for monitoring swarm performance and detecting degradation.

Steps

1. **Retrieve metrics** -- call `mcp__plugin_ruflo-core_ruflo__memory_search --namespace observability` (or `memory_list`) to fetch metric records for the specified period (default: 1 hour). The `memory_*` tool family routes by namespace; `agentdb_hierarchical-*` does NOT, so use `memory_*` here. 2. **Aggregate** -- compute:

  • Counters: sum totals (tasks_completed, errors, token_usage)
  • Gauges: current values (active_agents, memory_usage_bytes)
  • Histograms: p50, p95, p99 (task_duration_ms, span_duration_ms)

3. **Compute baselines** -- call `mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search` (ReasoningBank-routed; **don't** pass a `namespace` argument — pattern-* tools ignore it) to establish baseline values for each metric. 4. **Flag anomalies** -- mark metrics deviating >2 standard deviations from baseline with direction (above/below) and severity 5. **Store patterns** -- two paths (per ruflo-cost-tracker ADR-0001 dual-path pattern):

  • **Pattern store (typed, recommended)**: `mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store` with `type: 'metric-snapshot'`. No namespace arg.
  • **Plain store (namespace-routable)**: `mcp__plugin_ruflo-core_ruflo__memory_store --namespace observability` for the snapshot tied to a timestamp.

6. **Report** -- display: metric name, current value, baseline, deviation, trend (up/down/stable), anomaly flag; overall health score (green/yellow/red)

CLI alternative

npx @claude-flow/cli@latest memory search --query "system metrics for last hour" --namespace observability
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Ships withclaude-flow

An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.

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