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-predictive-analyticsgit 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-predictive-analytics)<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-obs-predictive-analytics"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-predictive-analytics/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-predictive-analytics"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-predictive-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00044 | $0.02252 |
| Opus 5 | $0.00022 | $0.01126 |
| Sonnet 5 | $0.00009 | $0.00450 |
| Haiku 4.5 | $0.00004 | $0.00225 |
Grade A, and why
dt-obs-predictive-analytics 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Predictive Analytics Skill
Forecast resource saturation, detect trends, analyze anomalies, and characterize signal behavior using DQL and Dynatrace analyzer tools.
Analysis Disciplines
| # | Discipline | Use when … |
|---|---|---|
| 1 | Forecast and Prediction | Predicting future metric values for capacity planning, cost estimation, or proactive alerting |
| 2 | Detecting Changes | A metric shifted — find when the character of the signal changed, regardless of whether it crossed a limit |
| 3 | Detecting Violations | A metric is currently out of bounds — find entities that exceed or fall below an acceptable range |
| 4 | Timeseries Characteristics | Characterizing a signal's seasonality, noise level, and trend before further analysis |
Choosing the Right Detection Tool
The single most important decision: are you asking "did this metric change?" or "is this metric currently wrong?"
| Question | Tool | Why |
|---|---|---|
| "Did this metric change in the last N hours?" | timeseries-novelty-detection |
Detects when the signal's character changed (spike, step, trend onset, variability shift) without requiring a known acceptable limit |
| "Which services spiked or dropped recently?" | timeseries-novelty-detection with SPIKE / CHANGE_IN_VALUES |
Finds the specific entities and timestamps where change occurred; returns empty for stable signals |
| "When did CPU start trending up?" | timeseries-novelty-detection with TREND_IN_VALUES |
Pinpoints the onset of a directional shift |
| "Which hosts are currently above 90% CPU?" | static-threshold-analyzer |
Known fixed limit — fire alerts when exceeded |
| "Which services are currently above their usual load?" | adaptive-anomaly-detector |
Learns the normal distribution from the data and flags sustained threshold violations |
| "Which services are high right now vs. their weekly pattern?" | seasonal-baseline-anomaly-detector |
Accounts for time-of-day/day-of-week patterns before deciding what is anomalous |
What ships with it
5 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 · 179 lines · 44 tokens per session scan A 8bc2ca7e87c9
dt-obs-predictive-analytics is a skill published in the GitHub repository Dynatrace/dynatrace-for-ai (137 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 2,252 once invoked, about $0.0002 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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