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dxpert UNS Tools: Sparkplug B & Unified Namespace Linter for IIoT

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    Industry 4.0 / IIoT AI agents for manufacturing: explain OEE losses per shift, triage machine alarms, find downtime root causes, prepare predictive-maintenance jobs and write shift reports from Unified Namespace (UNS), MQTT or historian data. Plus an industrial AI-readiness diagnostic and a vendor-neutral digital-transformation advisor. Works in Claude Code, Codex and any MCP client.
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TDQS

A4.4/5.0

Scored across 3 tools

Disambiguation4/5

The three tools target distinct capabilities, and the descriptions explicitly cross-reference each other (check_uns_namespace notes it does not validate Sparkplug grammar and points to lint_sparkplug_topic), which strongly reduces misselection. However, lint_sparkplug_topic and check_uns_namespace both operate on MQTT topic strings and could be confused at a glance by an agent skimming names.

Naming Consistency5/5

All three names follow a consistent snake_case verb_noun pattern: lint_sparkplug_topic, check_uns_namespace, run_readiness_diagnostic. The verbs differ (lint/check/run) but each reflects a genuinely different action, and no camelCase or stylistic mixing appears.

Tool Count4/5

Three tools is at the low edge of the well-scoped range but each represents a substantial, distinct capability rather than a thin wrapper. The set is minimal but defensible; the readiness diagnostic sits somewhat apart in domain from the two validators, making the set feel slightly narrow for a general 'tools' server.

Completeness3/5

Coverage is diagnostic-only: you can validate Sparkplug topics, audit UNS naming, and score readiness, but there is no way to normalize/fix namespaces, generate compliant topics, or decode payloads (explicitly excluded). For a toolkit scoped to UNS/Sparkplug diagnostics this is workable, but notable gaps remain around remediation and payload-level checks.

Maintenance

ActivityNo data
ResponsivenessUnresponsive