Our review
Continuously monitors an entity (machine, station, work order, operator) and logs AI insights to the activity log upon detecting changes.
Strengths
- Automatic detection of status changes and new alarms
- Context-aware AI insight generation via MCP
- Configurable polling interval
Limitations
- Requires access to wecr8mcp MCP tools
- May produce noise if change threshold is too low
- Runs indefinitely until manually interrupted
For real-time supervision of machine or work order status with intelligent alerting.
For one-off checks or when MCP API call costs are a concern.
Security analysis
SafeThe skill only uses safe monitoring tools (wecr8mcp_observe, wecr8mcp_enrich) and does not perform any destructive, exfiltrating, or obfuscated actions. No high-risk tools are used.
No concerns found
Examples
/loop-skill machine abc123 30/loop-skill work_order 300loop-skill
Continuously monitor a machine or work-order for changes and surface AI insights to the activity log.
Usage
/loop-skill [entity_type] [entity_id] [interval_seconds]
entity_type— one of:machine,station,work_order,operatorentity_id— UUID to watch. Omit to watch all.interval_seconds— poll interval (default: 60)
What it does
- Calls
wecr8mcp_observeto read current state. - Compares against the previous snapshot to detect changes.
- If a meaningful change is detected (status change, new alarm, quality flag), calls
wecr8mcp_enrichto log an AI insight. - Reschedules itself at the requested interval.
Example
/loop-skill machine abc123 30
Watches machine abc123 every 30 seconds and logs anomaly/insight notes when status changes.
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