A comprehensive framework for incident, problem, and change management adapted from ITIL 4 for autonomous AI agent operations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install itil-ops
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install itil-ops using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ITIL Ops: IT Service Management for AI Agents?
ITIL Ops brings professional IT Service Management (ITSM) standards to the world of autonomous agents. It provides a structured approach to detecting service crashes, analyzing recurring failures, and managing change requests within Openclaw Skills. By implementing these practices, developers can ensure their agents operate with high reliability, systematic root cause analysis, and controlled evolution.
The skill bridges the gap between traditional DevOps and modern AI operations. It treats agent failures not as random glitches, but as managed incidents that follow a specific lifecycle from detection to closure. This ensures that every Openclaw Skills deployment benefits from increased uptime and continuous improvement through data-driven operational reviews.
ITIL Ops: IT Service Management for AI Agents Use Cases
- Automating the detection and remediation of P1 critical service crash loops.
- Tracking recurring failures across multiple review cycles to identify systemic problems.
- Standardizing change management workflows to minimize risk during agent configuration updates.
- Building a known error database to speed up future troubleshooting and autonomous resolution.
How ITIL Ops: IT Service Management for AI Agents Works
- The system monitors detection sources such as systemd journal logs, cron job state files, and HTTP health endpoints.
- Detected issues are automatically classified into severity levels from P1 (Critical) to P4 (Low) based on pre-defined operational rules.
- High-priority incidents trigger immediate creation of coordination tasks for resolution.
- Recurring incidents are escalated to the Problem Management phase where a Root Cause Analysis (RCA) is performed.
- Approved changes follow a strict pre-change checklist and post-change verification sequence to ensure system stability.
- Operational data and system metrics are tracked in a state file to support weekly and monthly continual improvement reviews.
ITIL Ops: IT Service Management for AI Agents Setup
To integrate this operational framework into your environment, use the Openclaw Skills cron system to schedule regular reviews:
# Schedule a 12-hour incident review cycle
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"
ITIL Ops: IT Service Management for AI Agents Data Schema & Taxonomy
The skill organizes operational data through a structured state file and standardized ticket formats:
| Data Point | Storage Mechanism | Purpose |
|---|---|---|
| itil-state.json | JSON File | Tracks last review time, incident counts, and known errors. |
| Incident Tickets | Coordination Tasks | Captures severity, category, and impact for active issues. |
| Known Error DB | JSON Object | Maps specific error patterns to verified root causes and fixes. |
| System Metrics | State Metadata | Records disk usage, RAM pressure, and service restart counts. |
ITIL Ops: IT Service Management for AI Agents Advanced Features
- Automated severity classification rules based on crash frequency and resource pressure thresholds.
- Integration with coordination task boards for cross-agent incident management.
- Built-in 5 Whys methodology support for deep Root Cause Analysis on recurring problems.
- Configurable health check endpoints for real-time service monitoring.
- Comprehensive KPI tracking including Mean Time to Resolve (MTTR) and incident recurrence rates.
SKILL.md
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