azure-observability

A review guide for checking whether Azure cloud systems have the logging, monitoring, and alerts needed for operations.

In plain words
What is it for?
Reviewing Azure infrastructure templates and finding observability problems before they make incident investigation or cost control harder.
Why use it?
It identifies gaps such as scattered Log Analytics workspaces, excessive Application Insights data collection, missing alerts, and unconfigured log routing.

Skill for Claude CodeCodex

Part of the pilot-azure plugin — 15 skills, 3 agents shipped together

Install

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.

agentmods
npx agentmods add skills/agenticpawan/fullstack-pilot/azure-observability
Any agent
npx skills add AgenticPawan/FullStack-Pilot --skill azure-observability
Clone the repo
git clone --depth 1 https://github.com/AgenticPawan/FullStack-Pilot

Made for: Claude Code, Codex.

Or install pilot-azure, the plugin that ships this one along with the rest of its 15 skills, 3 agents.

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,341 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00083 $0.01341
Opus 5 $0.00042 $0.00671
Sonnet 5 $0.00017 $0.00268
Haiku 4.5 $0.00008 $0.00134

Measured 2d ago against content hash ff38770fd34a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

azure-observability 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 2d 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.

plugins/pilot-azure/skills/azure-observability/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Standard IDs

ID Severity What it checks
AOBS-001 P1 No centralized Log Analytics workspace — diagnostics scattered per-resource-group with no shared query surface
AOBS-002 P2 Application Insights sampling left at 100% for a high-volume API, inflating ingestion cost
AOBS-003 P1 No alert rules/action groups defined for critical resources (App Service, SQL, Container Apps)
AOBS-004 P2 Diagnostic settings not configured to route resource logs to the central workspace

Check A — No centralized Log Analytics workspace (AOBS-001)

Detection

  1. Grep Bicep templates for Microsoft.OperationalInsights/workspaces resources — flag if every resource group provisions its own workspace instead of resources across environments pointing at one shared (or one-per-environment) workspace with RBAC-scoped query access.
  2. A fragmented-workspace setup means an incident spanning two resource groups requires cross-workspace KQL queries (workspace("other-ws").Table) instead of one query surface.

BAD — a new workspace provisioned per resource group

// resource-group-orders/main.bicep
resource ordersWorkspace 'Microsoft.OperationalInsights/workspaces@2023-09-01' = {
  name: 'log-orders-prod-eus-001'
}
// resource-group-invoicing/main.bicep provisions its own separate workspace — no shared query surface

GOOD — one shared workspace per environment, referenced by every resource group

// shared/observability.bicep — deployed once per environment
resource sharedWorkspace 'Microsoft.OperationalInsights/workspaces@2023-09-01' = {
  name: 'log-platform-prod-eus-001'
}

// resource-group-orders/main.bicep references the shared workspace by resourceId
param sharedWorkspaceId string
resource diag 'Microsoft.Insights/diagnosticSettings@2021-05-01-preview' = {
  properties: { workspaceId: sharedWorkspaceId }
}

Check B — Application Insights sampling left at defaults (AOBS-002)

Read the full file on GitHub · 158 lines

Changes

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.

  1. 2d ago First seen · 158 lines · 83 tokens per session scan A ff38770fd34a

Subscribe to this mod's changes

azure-observability is a skill published in the GitHub repository AgenticPawan/FullStack-Pilot (2 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,341 once invoked, about $0.0004 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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