| 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>
