Borrowing it
Nothing to install: this file belongs to virtualrussel/dynatrace-ai-dtctl-workspace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/virtualrussel/dynatrace-ai-dtctl-workspace/main/.agents/skills/dt-obs-gcp/SKILL.mdgit clone --depth 1 https://github.com/virtualrussel/dynatrace-ai-dtctl-workspaceWrote 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/virtualrussel/dynatrace-ai-dtctl-workspace/dt-obs-gcp)<a href="https://agentmods.dev/skills/virtualrussel/dynatrace-ai-dtctl-workspace/dt-obs-gcp"><img src="https://agentmods.dev/badge/skills/virtualrussel/dynatrace-ai-dtctl-workspace/dt-obs-gcp/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/virtualrussel/dynatrace-ai-dtctl-workspace/dt-obs-gcp"><img src="https://agentmods.dev/badge/skills/virtualrussel/dynatrace-ai-dtctl-workspace/dt-obs-gcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00059 | $0.02516 |
| Opus 5 | $0.00030 | $0.01258 |
| Sonnet 5 | $0.00012 | $0.00503 |
| Haiku 4.5 | $0.00006 | $0.00252 |
Grade A, and why
dt-obs-gcp 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
10 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/compute-instances.md 3.2 KB
- references/iam-security.md 3.8 KB
- references/kubernetes-gke.md 4.6 KB
- references/messaging-pubsub.md 1.3 KB
- references/monitoring-logging.md 1.6 KB
- references/networking-dns.md 3.5 KB
- references/README.md 1.1 KB
- references/resource-management.md 2.0 KB
- references/resource-ownership.md 2.8 KB
- references/serverless-containers.md 3.6 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.
- 12d ago First seen · 203 lines · 59 tokens per session scan A 3d77df5d42ff
dt-obs-gcp is a skill published in the GitHub repository virtualrussel/dynatrace-ai-dtctl-workspace (1 stars, last pushed 26d ago), with no licence file. It adds 59 tokens to every session and 2,516 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
agent-platform-tuning
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use agent-platform-deploy), or managing serving endpoints (use agent-platform-endpoint-management).
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-alert-configuration
Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using…
application-design-center-design-deploy
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting…
cloud-run-basics
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
google-cloud-filestore-auditing
Audits Google Cloud Filestore instances across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOTSQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS). Use…