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-logsgit 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-logs)<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-obs-logs"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-logs/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-logs"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-obs-logs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 255 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00128 | $0.02316 |
| Opus 5.5 | $0.00051 | $0.00926 |
| Sonnet 5.5 | $0.00026 | $0.00463 |
| Haiku 4.5 | $0.00013 | $0.00232 |
Grade A, and why
dt-obs-logs 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- dt-obs-logs — 88% identical, 29 lines differ
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Log Analysis Skill
Query, filter, and analyze Dynatrace log data using DQL for troubleshooting and monitoring.
What This Skill Covers
- Fetching and filtering logs by severity, content, and entity
- Searching log messages using pattern matching
- Calculating error rates and statistics
- Analyzing log patterns and trends
- Grouping and aggregating log data by dimensions
Cross-source join required: If the query must combine logs with host attributes (OS type, hostname, IP address, cloud provider) → also read
dt-dql-essentials/references/smartscape-topology-navigation.mdbefore writing the query.
Use Cases
Use this skill when users want to:
- Find specific log entries (e.g., "show me error logs from the last hour")
- Filter logs by severity, process group, or content
- Search logs for specific keywords or phrases
- Calculate error rates or log statistics
- Identify common error messages or patterns
- Analyze log trends over time
- Troubleshoot issues using log data
Key Concepts
Log Data Model
- timestamp: When the log entry was created
- content: The log message text
- status: Log level (ERROR, FATAL, WARN, INFO, etc.)
- dt.process_group.id: Associated process group entity
- dt.process_group.detected_name: Resolves process group IDs to human-readable names
Query Patterns
- fetch logs: Primary command for log data access
- Time ranges: Use
from:now() - <duration>for time windows - Filtering: Apply severity, content, and entity filters
- Aggregation: Group and summarize log data
- Pattern Detection: Use
matchesPhrase()andcontains()for content search
Common Operations
- Severity filtering (single or multiple levels)
- Content search (simple and full-text)
- Entity-based filtering (process groups)
- Time-series analysis (bucketing, sorting)
- Error rate calculation
- Pattern analysis (exceptions, timeouts, etc.)
Core Workflows
1. Log Searching
Find specific log entries by time, severity, and content.
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.
- 2mo ago First seen · 272 lines · 128 tokens per session scan A 459fcdbec370
dt-obs-logs is a skill published in the GitHub repository Dynatrace/dynatrace-for-ai (175 stars, last pushed 3d ago), licensed Apache-2.0. It adds 128 tokens to every session and 2,316 once invoked, about $0.0005 per session on Opus 5.5. 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.
Other skills, from other repositories
dtctl
Investigate incidents, debug performance issues, analyze logs, and manage observability resources in Dynatrace using the dtctl CLI. Use this skill whenever the user asks about error rates, latency spikes, service health, crash-looping pods, web vitals, SLO status, open problems, root cause analysis, log patterns…
dynatrace-managed
Set up and query Dynatrace Managed (self-hosted) through the Dynatrace Managed MCP server - configuring cluster connections and API tokens, choosing the right environment when several are configured, and building entity selectors for logs, metrics, events, problems, security vulnerabilities and SLOs. Use when the user…
netdata-migration
Use when migrating observability from Datadog, New Relic, Dynatrace, or Prometheus to Netdata. Covers SDK replacement, exporter reconfiguration, Prometheus endpoint passthrough, and dashboard parity expectations.
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
playwright-cli
Automate browser interactions, test web pages and work with Playwright tests.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…