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 jsgerman-oss/blackrim-nimbus-skills --skill azure-observability-and-costgit clone --depth 1 https://github.com/jsgerman-oss/blackrim-nimbus-skillsWrote 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/jsgerman-oss/blackrim-nimbus-skills/azure-observability-and-cost)<a href="https://agentmods.dev/skills/jsgerman-oss/blackrim-nimbus-skills/azure-observability-and-cost"><img src="https://agentmods.dev/badge/skills/jsgerman-oss/blackrim-nimbus-skills/azure-observability-and-cost/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/jsgerman-oss/blackrim-nimbus-skills/azure-observability-and-cost"><img src="https://agentmods.dev/badge/skills/jsgerman-oss/blackrim-nimbus-skills/azure-observability-and-cost.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 | $0.00061 | $0.02334 |
| Opus 5 | $0.00030 | $0.01167 |
| Sonnet 5 | $0.00012 | $0.00467 |
| Haiku 4.5 | $0.00006 | $0.00233 |
Grade A, and why
azure-observability-and-cost 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Observability and Cost
When to use
- Setting up metrics, logs, and traces for a new Azure service.
- Building an SLO dashboard or wiring an alert to an on-call channel.
- Diagnosing a latency, error-rate, or cost regression.
- Negotiating a Reservation or Savings Plan commitment.
- Running a quarterly cloud cost review.
Observability pillars
| Pillar | Service |
|---|---|
| Metrics | Azure Monitor Metrics + platform metrics per resource |
| Logs | Log Analytics workspace (KQL query surface) |
| Traces | Application Insights (auto-instrumentation) or OpenTelemetry → Azure Monitor OTLP endpoint |
| Synthetics | Application Insights Availability Tests (URL ping, multi-step) |
| Real user monitoring | Application Insights JavaScript SDK or the Browser SDK |
| Service map | Application Insights Application Map (dependency topology) |
Defaults — every service
- Structured JSON logs with a stable
operationId/ correlation ID field shared across the request chain. - Application Insights SDK or auto-instrumentation for request rate, failure rate, and response time — the three core signals. Use
TelemetryClientor the OpenTelemetry Azure Monitor exporter. - Distributed tracing on, with the
traceparentW3C header propagated end-to-end across microservices. - At least one alert per service tied to user-visible pain (HTTP 5xx rate, p95 response time, queue backlog, dead-letter count). Avoid alerting on raw CPU utilization alone.
- Log retention: 30 days interactive (hot) in Log Analytics; extend to 90 days for security logs; ship to a Storage Account for archive retention > 90 days. The default 30-day retention is not an unbounded bill, but a 90-day retention upgrade costs ~$0.10/GB/mo and is worth it for incident investigations.
- Diagnostic settings: every Azure resource must have a diagnostic setting routing logs and metrics to the central Log Analytics workspace. Enforce via Azure Policy.
Log Analytics workspace design
- One workspace per environment (dev / stage / prod) is the simplest model. A centralized cross-subscription workspace is preferred when Sentinel is active or when Security Operations needs a single query pane.
- Avoid too many workspaces: cross-workspace queries (
workspace()function in KQL) work but add latency and complexity. - Data ingestion plan: Analytics plan for actively queried data; Basic plan for verbose diagnostic logs that are rarely queried but needed for compliance (reduces cost ~75% vs Analytics at the expense of limited query capability).
- Commitment tiers: at 100+ GB/day ingestion, commitment tiers (100 GB, 200 GB, ...) are significantly cheaper than pay-as-you-go — calculate the break-even and buy the appropriate tier.
- Table retention per table: set different retention on noisy tables (e.g.,
AzureDiagnosticsfrom verbose sources) vs security tables (SecurityEvent,SigninLogs).
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 · 136 lines · 61 tokens per session scan A 2fb61d7b497d
azure-observability-and-cost is a skill published in the GitHub repository jsgerman-oss/blackrim-nimbus-skills (8 stars, last pushed 26d ago), licensed MIT. It adds 61 tokens to every session and 2,334 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.
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