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.
git clone --depth 1 https://github.com/thangchung/agent-engineering-experimentnpx agentmods add skills/thangchung/agent-engineering-experiment/aspire-monitoringWrote 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/thangchung/agent-engineering-experiment/aspire-monitoring)<a href="https://agentmods.dev/skills/thangchung/agent-engineering-experiment/aspire-monitoring"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/aspire-monitoring/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/thangchung/agent-engineering-experiment/aspire-monitoring"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/aspire-monitoring.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 | $0.00204 | $0.02992 |
| Opus 5.5 | $0.00082 | $0.01197 |
| Sonnet 5.5 | $0.00041 | $0.00598 |
| Haiku 4.5 | $0.00020 | $0.00299 |
Grade A, and why
aspire-monitoring 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 1mo 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aspire Monitoring
Aspire CLI provides full observability locally. For deployed apps, route to platform-specific tools.
Diagnostics Bridge — Where To Look
| Need | Environment | Tool | Command / Route |
|---|---|---|---|
| Console logs | Local dev | Aspire CLI | aspire logs <resource> |
| Structured logs | Local dev | Aspire CLI | aspire otel logs [resource] |
| Distributed traces | Local dev | Aspire CLI | aspire otel traces [resource] |
| Span detail | Local dev | Aspire CLI | aspire otel spans [resource] |
| Resource state | Local dev | Aspire CLI | aspire describe (add --include-hidden if a resource is missing) |
| Telemetry export | Local dev | Aspire CLI | aspire export [resource] |
| Standalone dashboard | Any (no AppHost) | Aspire CLI | aspire dashboard run (foreground/blocking — see below) |
| Browser console / network / screenshots | Local dev (frontend) | Aspire dashboard | Surfaced via Aspire.Hosting.Browsers + WithBrowserLogs() |
| AppHost / deployment definition | Authoring | aspire-deployment skill | → aspire-deployment skill |
| AKS workload (pod logs, pod state) | Deployed AKS | kubectl + Container Insights | kubectl logs <pod>, kubectl describe pod <pod>, Container Insights in Azure Monitor |
| Azure resource health (App Insights, Front Door, NSP, private endpoint) | Deployed Azure | azure-diagnostics | → azure-diagnostics skill |
| App Service / Container Apps logs | Deployed Azure | azure-diagnostics | → azure-diagnostics skill |
| Logs/state | Deployed Docker / Compose | Docker CLI | docker logs <container>, docker compose logs <service> |
Decision tree:
- Is this about AppHost code or deployment definition? →
aspire-deploymentskill. - Is the app running locally via
aspire start? → Aspire CLI. - Is it deployed to AKS? → kubectl + Container Insights for workload;
azure-diagnosticsfor the cluster's Azure resources. - Is it deployed to other Azure (App Service, Container Apps)? →
azure-diagnostics. - Is it deployed to Docker / Compose? →
docker/docker composeCLI.
What ships with it
3 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.
- 1mo ago First seen · 198 lines · 204 tokens per session scan A 798ca7187a40
aspire-monitoring is a skill published in the GitHub repository thangchung/agent-engineering-experiment (28 stars, last pushed 13d ago), licensed MIT. It adds 204 tokens to every session and 2,992 once invoked, about $0.0008 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
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
azure-resource-visualizer
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group, diagram my resources, architecture…