dt-sec-semantic-mapping

dt-sec-semantic-mapping is a skill for Claude Code from Dynatrace/dynatrace-for-ai. It costs 69 tokens per session (1,179 once invoked), scanned A, original, Apache-2.0.

A tool for creating and checking mappings from security-vendor data to Dynatrace’s standard security event fields, called the semantic dictionary.

In plain words
What is it for?
Use it to propose mappings from vendor API samples, validate existing mappings against local examples or live events, find missing or inconsistent fields, and suggest corrections.
Why use it?
It helps ensure that data from a new security integration uses the expected field names, namespaces, and required information before it is relied on.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dynatrace plugin — 33 skills, 1 MCP server shipped together

Good fit Use it to propose mappings from vendor API samples, validate existing mappings against local examples or live events, find missing or inconsistent fields, and suggest corrections.

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Install with agentmods
npx agentmods add skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping
Clone the repo
git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai

Made for: Claude Code.

Or install dynatrace, the plugin that ships this one along with the rest of its 33 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dt-sec-semantic-mapping

README.md
[![agentmods](https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping/github.svg)](https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping)
Your own site
<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dt-sec-semantic-mapping

Your own site · 80×15
<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-sec-semantic-mapping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,179 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket warn 29 Jul 2026
  • Snyk warn 29 Jul 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.01179
Opus 5 $0.00034 $0.00589
Sonnet 5 $0.00014 $0.00236
Haiku 4.5 $0.00007 $0.00118

Measured 12d ago against content hash d92b574afc7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dt-sec-semantic-mapping scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/dt-sec-semantic-mapping/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dt-sec-semantic-mapping

Build and validate semantic-dictionary-aligned mappings for new security integrations.

Purpose

Use this skill when a user wants to:

  • Suggest a mapping from vendor API output to Dynatrace security.events fields (Workflow A).
  • Validate an existing mapping for completeness and quality against:
    • Local baseline samples and semantic dictionary (Workflow B1 — static, offline validation), or
    • Live tenant data via live tenant access (Workflow B2 — runtime validation)
  • Highlight discrepancies vs. the Semantic Dictionary and local references.
  • Get actionable mapping improvements.

Semantic Dictionary

The Semantic Dictionary (SD) defines the canonical field set for security.events. See references/semantic-reference.md for the canonical reference: local-vs-live sources, queryable Grail tables, when-to-query decision matrix, and the authority rule (live SD wins on disagreement).

Required Inputs

Always run the intake checklist in references/intake-and-constraints.md before generating or validating a mapping. If inputs are incomplete, continue with a partial draft but explicitly list missing evidence and confidence limits.

Baseline Sources (self-contained)

All baseline material lives inside this skill:

  • samples/ — real integration payloads covering all finding types and providers. Consulted as a fallback when primary references (SD, data-model-notes, known-discrepancies, validation-rules, object-type-expectations) leave a specific question unresolved — not as a routine step on every workflow run.
  • references/semantic-reference.md — SD reference, field taxonomy, event types, provider taxonomy, and entity scoping
  • references/validation-policy-and-reporting.md — validation rules, acceptable discrepancies, and report templates
  • references/intake-and-constraints.md — intake checklist, output contract, object.type expectations, and OpenPipeline constraints

Event-Type Coverage Requirements

The mapping MUST address the correct set of event.type values per finding class. Detection integrations are push-based and do not use scan cycles — never require scan events for detection.

Read the full file on GitHub · 86 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 86 lines · 69 tokens per session scan A d92b574afc7e

Subscribe to this mod's changes

dt-sec-semantic-mapping is a skill published in the GitHub repository Dynatrace/dynatrace-for-ai (137 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 1,179 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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