dynatrace-workflow

dynatrace-workflow is a skill for OpenCode from dynatrace-oss/dynatrace-snowflake-observability-agent. It costs 18 tokens per session (1,433 once invoked), scanned A, original, MIT.

A set of instructions for creating and deploying Dynatrace workflows, which automate monitoring tasks such as scheduled queries, anomaly detection, and alerts.

In plain words
What is it for?
Use it to build scheduled or event-driven monitoring workflows with Dynatrace and DQL, Dynatrace's query language.
Why use it?
It gives developers a consistent structure for documenting, configuring, and deploying these workflows.

Skill for OpenCode

Written for OpenCode: installed under .opencode/. Also seen: mentions OpenCode.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/tools/yaml-to-json.sh docs/workflows/<name>/<name>.yml > /tmp/<name>.json.

Good fit Use it to build scheduled or event-driven monitoring workflows with Dynatrace and DQL, Dynatrace's query language.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/dynatrace-oss/dynatrace-snowflake-observability-agent
agentmods
npx agentmods add skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dynatrace-workflow

Made for: OpenCode.

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.

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README.md
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Your own site · 80×15
<a href="https://agentmods.dev/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dynatrace-workflow"><img src="https://agentmods.dev/badge/skills/dynatrace-oss/dynatrace-snowflake-observability-agent/dynatrace-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,433 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
  • 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 $0.00018 $0.01433
Opus 5 $0.00009 $0.00717
Sonnet 5 $0.00004 $0.00287
Haiku 4.5 $0.00002 $0.00143

Measured 9d ago against content hash e532289a16bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dynatrace-workflow 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 9d 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.

.opencode/skills/dynatrace-workflow/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Dynatrace Workflow Creation and Deployment

Use this skill to create and deploy Dynatrace automation workflows (anomaly detection, alerting, scheduled DQL actions) for DSOA.

File Location

docs/workflows/<workflow-name>/<workflow-name>.yml
docs/workflows/<workflow-name>/readme.md
docs/workflows/<workflow-name>/img/.gitkeep
docs/workflows/README.md   (index — update after every new workflow)

Workflow YAML Format

Export an existing workflow as reference before writing a new one:

dtctl get workflows -A           # list all workflows with IDs
dtctl get workflow <id> -o yaml  # export one as a structural template

Typical workflow YAML structure:

# WORKFLOW: <Human-readable title>
# DESCRIPTION: <One-line description>
# OWNER: DSOA Team
# PLUGINS: <comma-separated plugin names>
# TAGS: snowflake, dsoa, <domain>

id: <uuid>        # omit on first create; add after dtctl returns the ID
title: "DSOA — <Descriptive Name>"
description: |
  <What this workflow does and why>

trigger:
  # Option A — scheduled (cron)
  schedule:
    rule: "0 * * * *"
    timezone: UTC
  # Option B — event-driven
  # event:
  #   eventType: "davis.problem.opened"
  #   filter: "event.category == 'AVAILABILITY'"

tasks:
  step_query:
    name: Query anomaly data
    action: dynatrace.automations:run-javascript
    input:
      script: |
        import { queryExecutionClient } from '@dynatrace-sdk/client-query';

        export default async function () {
          const result = await queryExecutionClient.queryExecute({
            body: {
              query: `
                fetch logs
                | filter db.system == "snowflake"
                | filter dsoa.run.plugin == "<plugin>"
                | summarize count = count(), by: { snowflake.<dim> }
                | filter count > 0
              `,
              requestTimeoutMilliseconds: 30000
            }
          });
          return { anomalyCount: result.result?.records?.length ?? 0, records: result.result?.records };
        }

  step_notify:
    name: Send alert notification
    action: dynatrace.slack.connector:send-message
    conditions:
      - taskId: step_query
        condition: "{{ result('step_query').anomalyCount > 0 }}"
    input:
      channel: "#dsoa-alerts"
      message: |
        :warning: DSOA anomaly detected
        Count: {{ result('step_query').anomalyCount }}
        Details: {{ result('step_query').records | dump }}

Read the full file on GitHub · 196 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. 9d ago First seen · 196 lines · 18 tokens per session scan A e532289a16bc

Subscribe to this mod's changes

dynatrace-workflow is a skill published in the GitHub repository dynatrace-oss/dynatrace-snowflake-observability-agent (10 stars, last pushed 8d ago), licensed MIT. It adds 18 tokens to every session and 1,433 once invoked, about $0.0001 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 2026-09-02.

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