Remediation Playbooks
Self-learning remediation actions for automated alert handling
Trigger Pattern Tester
| Trigger Pattern | Action | Status | Executions | Success Rate | Last Used | Actions | |
|---|---|---|---|---|---|---|---|
| Loading playbooks... | |||||||
Match Activity Log
| Timestamp | Trigger Name | Host | Matched Playbook | Score | Candidates |
|---|---|---|---|---|---|
| No match attempts recorded yet. Alerts will appear here when processed. | |||||
Incoming Zabbix Alerts
| Time | Trigger Name | Host | Severity | Status |
|---|---|---|---|---|
| No incoming alerts recorded. Alerts will appear here when you run a test or Zabbix sends alerts via the alert-intake workflow. | ||||
How Self-Learning Works
When an alert comes in, the system checks for matching playbooks.
If a playbook matches, it can be executed automatically (verified) or with approval (draft).
If no playbook matches, OpenClaw / Clawdia analyzes the alert and recommends actions.
Successful remediations create playbooks. After 3 approvals, they become auto-executable.
Import Playbooks From CSV
Download TemplateImport either a full playbook-definition CSV exported from this page, or a raw Zabbix alerts CSV. Full playbook CSVs use columns like trigger_pattern, action, action_params, analysis, and reasoning. Raw Zabbix alert CSVs use event_id, host, trigger_name, severity, item values, and are grouped into draft playbooks automatically.