metrics

<skill id="metrics">

<purpose>

Surface actionable insights from KERNEL telemetry. Wraps agentdb metrics with analysis and recommendations.

</purpose>

<execution>

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?)

1. 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"

</execution>

<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>

</skill>