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dt-obs-log-semantic-mapping

Suggest and validate audit log field mappings against the Dynatrace semantic dictionary.

Updated Jun 18, 2026
Search Tags:#validation#mapping#semantics#audit log#semantic dictionary
One-click install
npx skills add https://github.com/mf-dynatrace/dt-mcp-workspace --skill dt-obs-log-semantic-mapping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dt-obs-log-semantic-mapping
Source: https://github.com/mf-dynatrace/dt-mcp-workspace/tree/main/skills/dt-obs-log-semantic-mapping
Command: npx skills add https://github.com/mf-dynatrace/dt-mcp-workspace --skill dt-obs-log-semantic-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dt-dql-essentials, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of mapping audit log events to the Dynatrace semantic dictionary, reducing the time and effort required to map raw logs and validate their accuracy.

Core Features & Use Cases

  • Semantic Mapping: Suggest and validate mappings for audit logs to the Dynatrace semantic dictionary.
  • Static and Runtime Validation: Validate mappings against pasted log events or live tenant data.
  • Content Field Analysis: Identifies buried fields and suggests OpenPipeline extraction rules to fix mapping gaps.
  • Use Case: Mapping vendor audit logs, authentication logs, and user activity logs to the Dynatrace semantic dictionary.

Quick Start

Use the 'dt-obs-log-semantic-mapping' skill to suggest a mapping for an audit log event.

Frequently Asked Questions about dt-obs-log-semantic-mapping

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map audit log events to the Dynatrace semantic dictionary?▼

This Skill automates semantic dictionary mapping for audit logs by suggesting and validating field mappings from raw vendor log payloads or live ingested events, reducing manual effort and ensuring accuracy.

Can I validate semantic dictionary mappings against live tenant data?▼

Yes, semantic dictionary mappings can be validated using static validation against pasted log events or runtime validation against live tenant data to ensure field mapping accuracy.

Do I need DQL essentials to use the semantic dictionary mapping skill?▼

Yes, dt-dql-essentials is a required dependency for suggesting and validating semantic dictionary mappings, as it provides the foundational knowledge needed for field mapping and validation workflows.

How do I extract buried fields from vendor audit logs during mapping?▼

The semantic mapping skill analyzes content fields within vendor audit logs, identifies buried fields, and suggests OpenPipeline extraction rules to fix mapping gaps and ensure complete data ingestion.

What types of logs are supported for semantic dictionary mapping?▼

Semantic dictionary mapping supports vendor audit logs, authentication logs, and user activity logs, applying field mapping and validation to normalize these events within the Dynatrace platform.

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