bot-health-monitor

name	bot-health-monitor
description	Monitor ClawNet bot fleet health. Heartbeat checks, fleet status aggregation, health history tracking with Vercel Blob, severity classification, and formatted status reports. Use when checking on bots, running diagnostics, or generating health reports.
metadata	{"author":"b-open-io","version":"1.0.0","supports":["agent","bot"]}

Bot Health Monitor

Reference skill for monitoring the ClawNet bot fleet. Load this when doing health checks, diagnostics, or generating status reports.

Storage Layout (Vercel Blob)

Health data is stored per-bot:

bots/{bot-name}/health/
├── latest.json          # Most recent check result
├── history/
│   └── {timestamp}.json # Historical check snapshots
└── incidents/
    └── {timestamp}.json # Status change events (healthy→degraded, etc.)

Health Record Format

{
  "botName": "front-desk",
  "timestamp": "2026-03-07T12:00:00Z",
  "status": "healthy|degraded|critical",
  "heartbeatMs": 245,
  "httpStatus": 200,
  "sandboxState": "running",
  "uptime": "3d 14h 22m",
  "checks": {
    "heartbeat": true,
    "logs_clean": true,
    "memory_ok": true,
    "env_vars_set": true
  }
}

Heartbeat Check Protocol

# Quick heartbeat — returns HTTP status code only
curl -s -o /dev/null -w "%{http_code}" https://<sandbox-url>/api/heartbeat

# Full response with 10s timeout
curl -s --max-time 10 https://<sandbox-url>/api/heartbeat

• 200 = healthy
• Non-200 = problem
• No response within 10s = unresponsive (treat as critical)

Fleet Status Aggregation

# List all bots with sandbox URLs and states
clawnet bot list

For each bot returned:

1. Parse name, sandbox URL, status (running/stopped/error), uptime, last deploy
2. Hit its /api/heartbeat endpoint and measure response time
3. Combine both data sources into a health record

Severity Classification

Severity	Criteria	Action
Critical	No heartbeat response, sandbox stopped/crashed, HTTP 500	Immediate repair attempt, alert admin
Degraded	Heartbeat >5s, error logs present, high memory usage	Schedule maintenance, monitor closely
Healthy	Heartbeat <2s, clean logs, normal memory	No action needed

Quick Check vs Deep Check

Quick check (heartbeat only — full fleet in <30 seconds):

• Hit /api/heartbeat on each bot
• Classify severity from response time + HTTP status
• Update latest.json in Blob

Deep check (thorough — 2–5 minutes per bot):

• Heartbeat + response time measurement
• Log scan for errors and warnings
• Memory usage inspection
• Env var presence validation
• Update latest.json and append to history/

Automated Check Loop

When running continuous monitoring:

1. Run fleet check every 5 minutes
2. Compare current status to latest.json from previous check
3. If status changed (healthy→degraded or degraded→critical), write an incident record to incidents/ and alert admin
4. Store each result in history/{timestamp}.json
5. Retain last 24 hours of detailed history; summarize older snapshots

Status Report Format

## Fleet Health Report - {date}

### Summary
- Total bots: {count}
- Healthy: {count} | Degraded: {count} | Critical: {count}

### Bot Status

| Bot | Status | Heartbeat | Uptime | Issues |
|-----|--------|-----------|--------|--------|
| front-desk | Healthy | 245ms | 3d 14h | None |
| satchmo | Degraded | 4200ms | 1d 2h | Slow response |
| researcher | Critical | N/A | 0m | Sandbox stopped |

### Incidents
- {bot}: {issue description} at {time}

### Recommendations
- {actionable items}

Environment Variables

Requires Vercel Blob access (same token used by the vercel-blob skill):

BLOB_READ_WRITE_TOKEN=your_token_here