Give AI agents an evidence-first UDT audit workflow.
This skill reviews UDT definitions, instances, exports, and reachable Gateway evidence without mixing configured state with runtime proof. It identifies inherited drift, broken dependencies, risky scripts, alarms, history settings, writable surfaces, and missing validation evidence.
Why it was made
- Compares definitions and instances instead of reviewing each tag in isolation.
- Surfaces parameter, override, dependency, event-script, alarm, historian, and writable-tag risk.
- Labels unavailable live checks as evidence gaps instead of guessing.
- Keeps remediation separate from the initial audit until the user explicitly asks for changes.
Common use cases
- Audit a UDT library before a rollout or refactor.
- Compare exported definitions with problem instances.
- Trace inherited alarms, scripts, history, or reference-path problems.
- Create a bounded remediation plan from configuration evidence.
Proof style
Validate the artifact, not the promise.
The skill requires definition/instance evidence and explicit runtime checks before behavior is called proven; missing providers, permissions, or endpoints remain visible gaps.
Example prompt
Audit these Ignition UDT definitions and instances for parameter, override, dependency, event-script, alarm, historian, and writable-surface risk. Separate proven findings from evidence gaps and do not change the Gateway.This is the kind of focused instruction the skill is designed to make useful. The value is in the checks and Ignition-specific defaults the AI uses after reading the skill.
Expected output
- Inventories definitions, instances, parameters, members, overrides, and external dependencies.
- Ranks concrete configuration risks with the evidence that supports each finding.
- Separates exported configuration observations from live runtime behavior.
- Provides a prioritized verification and remediation plan without silently mutating resources.
Related workflows
Skills that pair with this one
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