ITIL-aligned incident, problem, and change management for AI agents. Use when: detecting service crashes, analyzing recurring failures, tracking incidents to resolution, performing root cause analysis, managing change requests, running health audits, or building operational review pipelines. Implements ITIL 4 practices adapted for autonomous agent operations: Incident Management, Problem Management, Change Management, Event Management, and Continual Improvement. Works with systemd, cron, jour...
Scanned 9/9/2026
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---
name: itil-ops
description: >
ITIL-aligned incident, problem, and change management for AI agents.
Use when: detecting service crashes, analyzing recurring failures, tracking
incidents to resolution, performing root cause analysis, managing change
requests, running health audits, or building operational review pipelines.
Implements ITIL 4 practices adapted for autonomous agent operations:
Incident Management, Problem Management, Change Management, Event Management,
and Continual Improvement. Works with systemd, cron, journalctl, and
coordination task boards.
---
# ITIL Ops — IT Service Management for AI Agents
Structured incident, problem, and change management adapted from ITIL 4 for autonomous agent operations.
## Core Concepts
### Severity Levels
| Level | Meaning | Response | Example |
|-------|---------|----------|---------|
| **P1** | Critical — service down, data at risk | Immediate alert + auto-remediate | Crash loop, disk full, OOM |
| **P2** | High — degraded service | Alert within 1h | Service restarts, auth failures |
| **P3** | Medium — non-critical issue | Next review cycle | Cron timeouts, broken files |
| **P4** | Low — cosmetic/minor | Track, fix when convenient | Log warnings, config drift |
### Incident vs Problem vs Change
- **Incident**: Something broke. Restore service ASAP. (reactive)
- **Problem**: Pattern of incidents. Find and fix root cause. (proactive)
- **Change**: Planned modification. Assess risk before executing. (controlled)
## Incident Management
### Detection Sources
Scan these in order of criticality:
1. **Service crashes** — `journalctl --user -u SERVICE --since "12 hours ago"` for watchdog timeouts, SIGABRT, SIGSEGV, core dumps
2. **Cron failures** — consecutive error count > 2 in job state files
3. **Health endpoints** — HTTP health checks returning non-200
4. **Resource pressure** — disk > 80%, RAM > 80%, swap active
5. **Data integrity** — schema validation failures, broken files, load errors
### Detection Script
Run `scripts/itil-review.sh` to scan all sources. It outputs:
- `ITIL_CLEAR` if nothing found (reply HEARTBEAT_OK)
- Formatted report with incidents and problems if issues detected
### Incident Lifecycle
```
DETECTED → CLASSIFIED (P1-P4) → DIAGNOSED → RESOLVED → CLOSED
↓
(3+ occurrences)
↓
ESCALATE TO PROBLEM
```
### Auto-Classification Rules
```bash
# P1 — Critical
- Service crash count >= 3 in 12h (crash loop)
- Disk usage >= 90%
- RAM usage >= 90%
- Data loss detected
# P2 — High
- Service crashed 1-2 times
- 3+ services down simultaneously
- Auth/token failures affecting operations
- Cron job with 5+ consecutive failures
# P3 — Medium
- Broken data files (schema violations)
- Memory load errors > 10 in 12h
- Cron job with 3-4 consecutive failures
- Disk usage 80-89%
# P4 — Low
- 1 service down (non-critical)
- Config warnings
- Log noise
```
### Creating Incident Tickets
When incidents are found, create coordination tasks:
```
Title: [ITIL-INC] <brief description>
Body:
- Severity: P1/P2/P3/P4
- Category: service|cron|memory|disk|security
- Detected: <timestamp>
- Detail: <what happened>
- Impact: <what's affected>
- Action: <what to do>
```
## Problem Management
### Pattern Detection
An incident becomes a problem when:
- Same error occurs **3+ times in 24h**
- Same incident type recurs **across 2+ review cycles**
- Multiple related incidents share a **common root cause**
### Root Cause Analysis (RCA)
When a problem is identified:
1. **Gather evidence** — journal logs, error messages, state files, recent changes
2. **Timeline** — reconstruct the sequence of events
3. **5 Whys** — ask why iteratively until you reach the actual root cause
4. **Fix classification**:
- **Quick fix** — config change, file repair, timeout bump
- **Code fix** — bug in script or daemon, needs PR
- **Architecture fix** — design flaw, needs redesign
### Problem Ticket Format
```
Title: [ITIL-PRB] <root cause description>
Body:
- Related incidents: <list>
- Root cause: <what's actually broken>
- Evidence: <logs, patterns, data>
- Fix applied: <immediate remediation>
- Fix needed: <permanent solution>
- Prevention: <how to prevent recurrence>
```
### Known Error Database
Track resolved problems in state file (`itil-state.json`):
```json
{
"last_review": "2026-03-22T04:19:50Z",
"last_incident_count": 2,
"last_problem_count": 1,
"known_errors": {
"memory-content-dict": {
"description": "Scripts writing content as dict instead of string",
"root_cause": "Missing json.dumps() in memory file writers",
"fix": "Wrap content in json.dumps() before saving",
"fixed_date": "2026-03-22"
}
}
}
```
## Change Management
### Pre-Change Checklist
Before modifying services, configs, or infrastructure:
1. **What's changing?** — specific files, services, configs
2. **Why?** — linked incident/problem ticket
3. **Risk?** — what could go wrong
4. **Rollback plan?** — how to undo if it breaks
5. **Test?** — how to verify it worked
6. **Notify?** — does the human need to know
### Change Categories
| Type | Approval | Example |
|------|----------|---------|
| **Standard** | Pre-approved, just do it | Restart service, bump timeout |
| **Normal** | Inform human, wait for OK | New cron job, config change |
| **Emergency** | Fix now, inform after | Service down, data at risk |
### Post-Change Verification
After any change:
1. Check service status — `systemctl --user status SERVICE`
2. Watch logs for 60s — `journalctl --user -u SERVICE -f --since "now"`
3. Run health check — `scripts/itil-review.sh`
4. Verify no new errors in first 5 minutes
## Event Management
### Log Monitoring Patterns
```bash
# Service crashes
journalctl --user -u SERVICE --since "12h ago" | grep -ciE "watchdog timeout|killed|SIGABRT|SIGSEGV|failed with"
# Memory/resource issues
journalctl --user -u SERVICE --since "12h ago" | grep -c "Failed to load"
# Auth failures
journalctl --user -u SERVICE --since "12h ago" | grep -ciE "unauthorized|403|token expired|auth fail"
```
### Health Check Endpoints
Check services with curl:
```bash
curl -sf --max-time 5 "$URL" >/dev/null 2>&1 || echo "DOWN"
```
Configure endpoints in the review script for your environment.
## Continual Improvement
### Review Cadence
| Review | Frequency | Purpose |
|--------|-----------|---------|
| **Incident review** | Every 12h | Detect and classify new issues |
| **Problem review** | Weekly | Identify patterns, track RCA progress |
| **Capacity review** | Weekly | Disk, RAM, memory count trends |
| **Process review** | Monthly | Are our detection rules catching real issues? |
### KPIs to Track
- **MTTR** (Mean Time to Resolve) — how fast do we fix incidents?
- **Incident recurrence rate** — are the same things breaking?
- **False positive rate** — are we alerting on non-issues?
- **Known error resolution** — are problems getting permanent fixes?
### State Tracking
The review script maintains `itil-state.json` with:
- Last review timestamp and results
- Incident/problem counts per review
- System metrics (disk, RAM, restart count)
- Cross-review pattern detection data
## Cron Setup
### Recommended Schedule
```bash
# Incident review — every 12 hours
openclaw cron add --name "itil-review" --every "12h" \
--model "anthropic/claude-sonnet-4-6" --timeout-seconds 180 \
--session isolated \
--message "Run ITIL review: bash ~/.skcapstone/agents/lumina/scripts/itil-review.sh"
# Weekly problem review (Sunday 9 AM)
# Analyze the week's incidents, identify patterns, suggest improvements
```
## File Structure
```
itil-ops/
├── SKILL.md # This file
├── scripts/
│ └── itil-review.sh # Main review script (scan + classify + report)
└── references/
└── itil4-agent-mapping.md # ITIL 4 → Agent operations reference
```
## Integration Points
- **Coordination tasks** — `skcapstone coord create` for incident/problem tickets
- **Memory snapshots** — `skmemory_snapshot` to record resolutions for future reference
- **Heartbeat** — integrate with existing heartbeat to run lightweight checks
- **Cron** — scheduled reviews via OpenClaw cron system
- **Alerting** — Telegram/Discord delivery for P1/P2 issues
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