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 Tyler-R-Kendrick/agent-skills --skill azure-observabilitygit clone --depth 1 https://github.com/Tyler-R-Kendrick/agent-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/tyler-r-kendrick/agent-skills/azure-observability)<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/azure-observability"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/azure-observability/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/tyler-r-kendrick/agent-skills/azure-observability"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/azure-observability.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 | $0.00042 | $0.00712 |
| Opus 5.5 | $0.00017 | $0.00285 |
| Sonnet 5.5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Observability Services
Services
| Service | Use When | MCP Tools | CLI |
|---|---|---|---|
| Azure Monitor | Metrics, alerts, dashboards | azure__monitor |
az monitor |
| Application Insights | APM, distributed tracing | azure__applicationinsights |
az monitor app-insights |
| Log Analytics | Log queries, KQL | azure__kusto |
az monitor log-analytics |
| Alerts | Notifications, actions | - | az monitor alert |
| Workbooks | Interactive reports | azure__workbooks |
- |
MCP Server (Preferred)
When Azure MCP is enabled:
Monitor
azure__monitorwith commandmonitor_metrics_query- Query metricsazure__monitorwith commandmonitor_logs_query- Query logs with KQL
Application Insights
azure__applicationinsightswith commandapplicationinsights_component_list- List App Insights resources
Log Analytics
azure__kustowith commandkusto_cluster_list- List clustersazure__kustowith commandkusto_query- Execute KQL queries
If Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
CLI Reference
# List Log Analytics workspaces
az monitor log-analytics workspace list --output table
# Query logs with KQL
az monitor log-analytics query \
--workspace WORKSPACE_ID \
--analytics-query "AzureActivity | take 10"
# List Application Insights
az monitor app-insights component list --output table
# List alerts
az monitor alert list --output table
# Query metrics
az monitor metrics list \
--resource RESOURCE_ID \
--metric "Percentage CPU"
Common KQL Queries
// Recent errors
AppExceptions
| where TimeGenerated > ago(1h)
| project TimeGenerated, Message, StackTrace
| order by TimeGenerated desc
// Request performance
AppRequests
| where TimeGenerated > ago(1h)
| summarize avg(DurationMs), count() by Name
| order by avg_DurationMs desc
// Resource usage
AzureMetrics
| where TimeGenerated > ago(1h)
| where MetricName == "Percentage CPU"
| summarize avg(Average) by Resource
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 · 97 lines · 42 tokens per session scan A 92e4db8847fe
azure-observability is a skill published in the GitHub repository Tyler-R-Kendrick/agent-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 712 once invoked, about $0.0002 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 2026-08-31.
azure-observability compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| azure-observabilityTyler-R-Kendrick/agent-skills | Skill | 13 | 5mo ago | MIT | A | 42 | Claude Code |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| gke-reliabilitygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 85 | Claude Code, Codex |
| gke-workload-securitygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 171 | Claude Code, Codex |
| cloud-architectJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 71 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |