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/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;

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Install
$ npx -y skills add Dynatrace/dynatrace-for-ai --skill dt-obs-log-semantic-mapping --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dt-obs-log-semantic-mapping

Context preview

The summary Claude sees to decide when to auto-load this skill.

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;

SKILL.md

dt-obs-log-semantic-mapping.SKILL.md
name: dt-obs-log-semantic-mapping
description: "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)."
license: Apache-2.0

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

| Class | Description | Key namespaces | Example sources | |---|---|---|---| | `authentication` | Login, logout, MFA, token | `audit.*`, `actor.*`, `browser.*`, `device.*` | CyberArk, Okta, Azure SignInLogs | | `authorization` | Access decisions, permission changes | `audit.*`, `actor.*`, `object.*` | CyberArk, Okta | | `user_action` | CRUD on platform resources | `audit.*`, `actor.*`, `object.*`, `product.*` | Okta, GitHub, Sonatype | | `http` | HTTP request/response (WAF, network devices) | `http.*`, `url.*`, `server.*`, `geo.*`, `client.*` | Akamai SIEM, Cloudflare |

Workflows

| Mode | Input | Source | |---|---|---| | **Workflow A** — Suggest mapping | Raw vendor log payload | `references/mapping-workflow.md § Workflow A` | | **Workflow B1** — Static validation | Pasted ingested log event | `references/mapping-workflow.md § Workflow B1` | | **Workflow B2** — Runtime validation | `log.source` value + live tenant access | `references/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](https://docs.dynatrace.com/docs/semantic-dictionary/model/log)
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