metrics

name	metrics
description	Observability dashboard. Session stats, agent tracking, hook performance, learning health. Triggers: metrics, stats, dashboard, observability.
user-invocable	true
allowed-tools	Read, Bash, Grep, Glob
kernel	{"kind":"workflow","version":1,"side_effects":"none","confirmation":"none"}

Surface actionable insights from KERNEL telemetry. Wraps `agentdb metrics` with analysis and recommendations. 1. Run `agentdb metrics` to get raw data 2. Analyze patterns and surface insights: - Session duration trends (are sessions getting longer? that may indicate complexity creep) - Agent success rates (are adversary verdicts calibrated?) - Hook failure rates (which guards need attention?) - Learning utilization (which learnings get reinforced vs ignored?) 3. Present dashboard with actionable recommendations

Example recommendations:

• "64% tier 1 work — your skill set matches well"
• "Adversary sample size < 5 — run /kernel:tearitapart more on tier 2+ work"
• "detect-secrets had 2 failures — check patterns are current"
• "3 learnings never reinforced in 30d — will be auto-pruned"

<on_start>

agentdb metrics
agentdb health

<ask_user> Use AskUserQuestion when: dashboard displayed and anomalies found Ask: "Anomaly in {metric}: {detail}. Want to investigate, or just note it?" Options: investigate, note and move on </ask_user> </on_start>