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 WYRE-AI/msp-claude-plugins --skill observabilitygit clone --depth 1 https://github.com/WYRE-AI/msp-claude-pluginsWrote 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/wyre-ai/msp-claude-plugins/observability)<a href="https://agentmods.dev/skills/wyre-ai/msp-claude-plugins/observability"><img src="https://agentmods.dev/badge/skills/wyre-ai/msp-claude-plugins/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/wyre-ai/msp-claude-plugins/observability"><img src="https://agentmods.dev/badge/skills/wyre-ai/msp-claude-plugins/observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.01505 |
| Opus 5.5 | $0.00026 | $0.00602 |
| Sonnet 5.5 | $0.00013 | $0.00301 |
| Haiku 4.5 | $0.00007 | $0.00151 |
Grade A, and why
azure-mcp-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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Observability & Diagnostics
This skill covers the monitoring, diagnostics, and health side of the azure-mcp connector: the monitor, resourcehealth, applens, and advisor namespaces. All four are read-only — they observe and report on Azure, they never change it.
Tool names follow the Azure MCP Server's namespace convention (azmcp / azure_mcp prefixes, e.g. tools grouped under monitor, resourcehealth, applens, advisor). Describe and invoke them by capability — the connector exposes one or more tools per namespace.
Anti-triggers
- Estimating a price or checking quota headroom — use
azure-mcp-cost-and-capacity. Advisor's Cost recommendations do belong here; a meter rate or a usage limit does not. - Application logs held outside Azure — KQL reaches Log Analytics
workspaces only. Better Stack log search is
betterstack-logging. - Microsoft 365 sign-in, mailbox, or licensing signals — unless
they are ingested into a workspace, use
microsoft-graph-queryingorcipp-security. - Alerting an MSP NOC rather than Azure — an Azure Monitor alert
rule is not the RMM alert queue (
atera,ncentral) or an uptime incident (betterstack-incidents).
Namespace surface
monitor — Azure Monitor
Azure Monitor is the workhorse. Capabilities:
- Metrics — query platform and custom metric series for a resource (CPU, memory, request count, latency, throttling, etc.) over a time window.
- Log Analytics / KQL — run Kusto Query Language queries against a Log Analytics workspace. This is how you reach application traces,
AzureDiagnostics,AzureActivity, sign-in logs, and any custom tables. - Alerts — list configured alert rules and their current fired/resolved state.
KQL queries should be scoped tightly — always include a where TimeGenerated > ago(...) bound and a column projection so results stay small and fast.
resourcehealth — Resource Health
Reports the platform-reported availability of an Azure resource: Available, Degraded, Unavailable, or Unknown, plus the reason (platform-initiated, customer-initiated, or unplanned) and any active health events on the subscription. This is the fastest "is it Azure's fault" check.
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 · 101 lines · 66 tokens per session scan A efd9ed2be250
azure-mcp-observability is a skill published in the GitHub repository WYRE-AI/msp-claude-plugins (52 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 1,505 once invoked, about $0.0003 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 2026-09-04.
azure-mcp-observability compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| azure-mcp-observabilityWYRE-AI/msp-claude-plugins | Skill | 52 | today | Apache-2.0 | A | 66 | Claude Code |
| api-gateway-troubleshootinggoogle/skills | Skill | 24k | today | Apache-2.0 | A | 196 | Claude Code, Codex |
| pathways-workloadgoogle/skills | Skill | 24k | today | Apache-2.0 | A | 178 | Claude Code, Codex |
| gke-ai-troubleshooting-tpu-mxla-hanggoogle/skills | Skill | 24k | today | Apache-2.0 | A | 192 | Claude Code, Codex |
| gke-ai-troubleshooting-tpu-performance-degradationgoogle/skills | Skill | 24k | today | Apache-2.0 | A | 200 | Claude Code, Codex |
| gke-node-notreadygoogle/skills | Skill | 24k | today | Apache-2.0 | A | 112 | Claude Code, Codex |
| gke-ai-troubleshooting-node-unresponsive-timeoutgoogle/skills | Skill | 24k | today | Apache-2.0 | A | 96 | Claude Code, Codex |