observe-metrics

Original：🇺🇸 English

Translated

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

3installs

Sourceruvnet/ruflo

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo observe-metrics

SKILL.md Content

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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

Retrieve metrics -- call
```
mcp__claude-flow__agentdb_hierarchical-recall
```
to fetch metric records from the
```
observability
```
namespace for the specified period (default: 1 hour)
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)
Compute baselines -- search for historical patterns via
```
mcp__claude-flow__agentdb_pattern-search
```
to establish baseline values for each metric
Flag anomalies -- mark metrics deviating >2 standard deviations from baseline with direction (above/below) and severity
Store patterns -- call
```
mcp__claude-flow__agentdb_pattern-store
```
to record current metric snapshot for future baseline comparison
Report -- display: metric name, current value, baseline, deviation, trend (up/down/stable), anomaly flag; overall health score (green/yellow/red)

CLI alternative

bash

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