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-frontendsgit 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-frontends)<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-obs-frontends"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-frontends/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-frontends"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-frontends.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00083 | $0.02181 |
| Opus 5 | $0.00042 | $0.01091 |
| Sonnet 5 | $0.00017 | $0.00436 |
| Haiku 4.5 | $0.00008 | $0.00218 |
Grade A, and why
dt-obs-frontends 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 11d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Observability (RUM)
Monitor web and mobile frontends using Real User Monitoring with DQL. Targets the New RUM Experience only — do not use classic RUM data.
Concepts and data model: https://docs.dynatrace.com/docs/observe/digital-experience/new-rum-experience/concepts
Data Model
Three data sources, each for a different question:
| Source | Use for | Granularity |
|---|---|---|
timeseries dt.frontend.* |
Trends, dashboards, alerting | Aggregated metric |
fetch user.events |
Root cause, individual page views / requests / clicks / errors | Per-event |
fetch user.sessions |
Bounce rate, session duration, session-level aggregates | Per-session |
Rule of thumb: start with metrics for the shape of the problem, drill into events for the why. Use sessions when the question is about user journeys, not individual interactions.
Full event model: https://docs.dynatrace.com/docs/semantic-dictionary/model/rum/user-events
DQL language reference (functions, syntax, operators): https://docs.dynatrace.com/docs/platform/grail/dynatrace-query-language
Key dt.frontend.* metrics (all support dimensions: frontend.name, device.type, geo.country.iso_code, browser.name, os.name, dt.rum.user_type, dt.smartscape.frontend):
dt.frontend.web.page.largest_contentful_paint/dt.frontend.web.page.interaction_to_next_paint/dt.frontend.web.page.cumulative_layout_shift/dt.frontend.web.page.first_input_delay— Core Web Vitalsdt.frontend.web.navigation.time_to_first_byte/dt.frontend.web.navigation.dom_interactive/dt.frontend.web.navigation.load_event_end— Navigation timingdt.frontend.error.count— Error countsdt.frontend.request.count/dt.frontend.request.duration— Request volume and latencydt.frontend.user_action.count/dt.frontend.user_action.duration— User action volume and durationdt.frontend.session.active.estimated_count/dt.frontend.user.active.estimated_count— Active sessions and users (cardinality metrics; usecountDistinct()aggregation)
What ships with it
11 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.
- references/characteristics.md 2.9 KB
- references/csp-violations.md 5.9 KB
- references/error-tracking.md 17 KB
- references/mobile-monitoring.md 11 KB
- references/slow-page-load-playbook.md 6.9 KB
- references/troubleshooting.md 8.7 KB
- references/user-actions.md 9.7 KB
- references/user-sessions.md 20 KB
- references/visibility-changes.md 8.5 KB
- references/web-performance-analysis.md 17 KB
- references/web-vitals.md 13 KB
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.
- 11d ago First seen · 153 lines · 83 tokens per session scan A b38277320495
dt-obs-frontends is a skill published in the GitHub repository Dynatrace/dynatrace-for-ai (137 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 2,181 once invoked, about $0.0004 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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