Query Zabbix 7.0 API for monitoring data and acknowledge problems.
npx skills add https://github.com/russellkt/inframon --skill zabbix-monitoring
Please help me install this Agent Skill. Skill: zabbix-monitoring Source: https://github.com/russellkt/inframon/tree/main/skills/zabbix-monitoring Command: npx skills add https://github.com/russellkt/inframon --skill zabbix-monitoring
This Skill provides a way to query Zabbix for infrastructure monitoring data, including active problems, host metrics, historical trends, and trigger conditions, enabling quick investigation and resolution of alerts.
Use the zabbix-monitoring skill to list all active problems with severity level 3 or higher.
High-intent search queries and answers about installing and using this skill.
Query active Zabbix problems by retrieving unresolved issues through the Zabbix 7.0 API. You can filter these alerts by severity level and specific host to focus on critical infrastructure issues that require immediate investigation.
Retrieve host metrics and historical data from Zabbix by querying item metrics via the Zabbix JSON-RPC API. This approach gathers detailed trend data for specific hosts, enabling quick root cause analysis when an infrastructure alert fires.
Yes, you can acknowledge Zabbix events to mark problems as investigated or resolved. The Skill supports acknowledging active triggers directly through the API, updating the event status for streamlined team troubleshooting workflows.
This Zabbix monitoring approach operates via a Python script utilizing Zabbix JSON-RPC with Bearer token authentication. It connects to the Zabbix 7.0 API to securely retrieve infrastructure monitoring data, trigger conditions, and host statuses.
Get detailed context for troubleshooting Zabbix trigger conditions by retrieving specific problem events and their associated metrics. This contextual data helps infrastructure teams understand the root cause of active alerts and take appropriate action.
HybridAIOneRead Zabbix monitoring state to produce incident triage summaries.
OmniNode-aiGenerate system status reports with services, infrastructure, metrics, and trend analysis.
Mekann2904Analyze log files to extract error patterns and detect anomalies.
shepard-systemRetrieve active alerts, silences, and Prometheus rule states via Alertmanager and Prometheus APIs.
