MCPInstall

dt-obs-log-semantic-mapping

Suggest and validate semantic dictionary (SD) mappings for audit log integrations using raw vendor log payloads or live ingested events. Use when: mapping a vendor audit log feed, authentication logs, user activity logs to the Dynatrace SD; checking required semantic fields; proposing OpenPipeline processor extraction rules based on DQL; running runtime validation (fetches live logs by log.source, then applies static validation).

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/dynatrace/dynatrace-for-ai --skill dt-obs-log-semantic-mapping
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dt-obs-log-semantic-mapping automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

dt-obs-log-semantic-mapping

Build and validate semantic-dictionary-aligned mappings for audit log integrations.

Purpose

Use this skill when a user wants to:

  • Suggest a mapping from a raw vendor audit log payload to Dynatrace fetch logs fields (Workflow A).
  • Validate a mapping against a pasted ingested log event (Workflow B1 — static).
  • Validate against live tenant data via live tenant access (Workflow B2 — runtime: fetches logs by log.source, then runs B1 on the result).

Log Classes

ClassDescriptionKey namespacesExample sources
authenticationLogin, logout, MFA, tokenaudit.*, actor.*, browser.*, device.*CyberArk, Okta, Azure SignInLogs
authorizationAccess decisions, permission changesaudit.*, actor.*, object.*CyberArk, Okta
user_actionCRUD on platform resourcesaudit.*, actor.*, object.*, product.*Okta, GitHub, Sonatype
httpHTTP request/response (WAF, network devices)http.*, url.*, server.*, geo.*, client.*Akamai SIEM, Cloudflare

Workflows

ModeInputSource
Workflow A — Suggest mappingRaw vendor log payloadreferences/mapping-workflow.md § Workflow A
Workflow B1 — Static validationPasted ingested log eventreferences/mapping-workflow.md § Workflow B1
Workflow B2 — Runtime validationlog.source value + live tenant accessreferences/runtime-validation.md — fetches logs, then runs B1

Key Concepts

Content field burial: The primary validation concern. Fields in content (the raw vendor payload) that could be promoted to top-level semantic attributes but are not. The skill always inventories buried vs promoted fields and proposes OpenPipeline extraction rules to fix gaps.

Prerequisite: When proposing OpenPipeline processor extraction rules, load the dt-dql-essentials skill first. OpenPipeline processors use DQL functions (parse, fieldsAdd, splitString, etc.) — using non-DQL syntax produces invalid rules.

Sparse mappings are valid: Integrations like GitHub or Sonatype may only populate core fields. Minimum required: timestamp, log.source, content, loglevel, audit.action, audit.identity.

References

  • references/data-model-notes.md — Log SD field taxonomy, audit namespace, enums, sample-derived patterns and known discrepancies
  • references/mapping-workflow.md — Intake checklist, Workflow A and B1 procedures, content field analysis, field priority order
  • references/validation-rules.md — Required fields, content/enum/type rules, discrepancy severity
  • references/openpipeline-constraints.md — OpenPipeline processor command/function/operator/matcher restrictions; parseJson unavailability + parse→fieldsFlatten alternative; iterative operators for array casting
  • references/report-format.md — Mapping table, diff table, OpenPipeline sketch, Validation Summary templates
  • references/runtime-validation.md — Workflow B2: fetch live records, then run B1
  • samples/audit-logs.json — Mapped samples: CyberArk, Okta, Azure SignInLogs, Sonatype, GitHub
  • samples/http-logs.json — Mapped samples: Akamai SIEM (WAF/HTTP class)
  • Dynatrace Log Semantic Dictionary

FAQ

What does the dt-obs-log-semantic-mapping skill do?

Suggest and validate semantic dictionary (SD) mappings for audit log integrations using raw vendor log payloads or live ingested events. Use when: mapping a vendor audit log feed, authentication logs, user activity logs to the Dynatrace SD; checking required semantic fields; proposing OpenPipeline processor extraction rules based on DQL; running runtime validation (fetches live logs by log.source, then applies static validation).

How do I install dt-obs-log-semantic-mapping?

Run npx skills add https://github.com/dynatrace/dynatrace-for-ai --skill dt-obs-log-semantic-mapping in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dt-obs-log-semantic-mapping/ (personal) or .claude/skills/dt-obs-log-semantic-mapping/ (project).

Which AI agents can use dt-obs-log-semantic-mapping?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dt-obs-log-semantic-mapping safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dt-obs-log-semantic-mapping?

It is published by dynatrace in dynatrace/dynatrace-for-ai. It has 1,399 recorded installs.

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