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.
npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-log-semantic-mappinggit clone --depth 1 https://github.com/Dynatrace/dynatrace-for-aiWrote 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.
[](https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-obs-log-semantic-mapping)<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-obs-log-semantic-mapping"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-log-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.
<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-obs-log-semantic-mapping"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-log-semantic-mapping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00090 | $0.00914 |
| Opus 5 | $0.00045 | $0.00457 |
| Sonnet 5 | $0.00018 | $0.00183 |
| Haiku 4.5 | $0.00009 | $0.00091 |
Grade A, and why
dt-obs-log-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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 logsfields (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-essentialsskill first. OpenPipeline processors use DQL functions (parse,fieldsAdd,splitString, etc.) — using non-DQL syntax produces invalid rules.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 55 lines · 90 tokens per session scan A 5166e44b9d94
dt-obs-log-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 90 tokens to every session and 914 once invoked, about $0.0005 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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