vm-performance-diagnostics

vm-performance-diagnostics is a skill for Claude Code, Codex from microsoft/sre-agent. It costs 0 tokens per session (1,056 once invoked), scanned A, original, MIT.

A procedure for diagnosing and fixing performance problems on Azure virtual machines that run SAP workloads. It covers alerts and slow applications, including CPU, memory, disk, and network issues.

In plain words
What is it for?
Use it when an SAP workload on an Azure VM is slow, or when monitoring reports high CPU or memory use, low disk space, or unusual disk or network activity.
Why use it?
It provides a consistent way to investigate whether a virtual machine is performing worse than its recent baseline. This helps narrow down the cause before remediation is attempted.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it when an SAP workload on an Azure VM is slow, or when monitoring reports high CPU or memory use, low disk space, or unusual disk or network activity.

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Install with agentmods
npx agentmods add skills/microsoft/sre-agent/vm-performance-diagnostics
About the project

microsoft/sre-agent is the community repository for Azure SRE Agent, an AI assistant for diagnosing and resolving production problems and reducing routine operations work. It is for teams working on service reliability and includes documentation, discussions, videos, and hands-on labs for using the product. The catalogue skills relate to the agent's official plugins and resources.

microsoft/sre-agent · 179 stars · on GitHub

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.

Any agent
npx skills add microsoft/sre-agent --skill vm-performance-diagnostics
Clone the repo
git clone --depth 1 https://github.com/microsoft/sre-agent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for vm-performance-diagnostics

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/sre-agent/vm-performance-diagnostics/github.svg)](https://agentmods.dev/skills/microsoft/sre-agent/vm-performance-diagnostics)
Your own site
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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.

agentmods 80×15 button for vm-performance-diagnostics

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/sre-agent/vm-performance-diagnostics"><img src="https://agentmods.dev/badge/skills/microsoft/sre-agent/vm-performance-diagnostics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,056 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00000 $0.01056
Opus 5.5 $0.00000 $0.00422
Sonnet 5.5 $0.00000 $0.00211
Haiku 4.5 $0.00000 $0.00106

Measured 1mo ago against content hash 49cdc6dec428, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vm-performance-diagnostics 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.

labs/vm-cosmosdb/skills/vm-performance-diagnostics/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VM Performance Diagnostics

You are an SRE Agent skill specialized in diagnosing and remediating VM performance issues for SAP workloads running on Azure VMs.

When to Use This Skill

Activate this skill when:

  • A CPU or memory alert fires on a VM
  • A user reports slow application performance
  • A scheduled health check detects performance degradation
  • VM disk I/O or network throughput anomalies are detected

Investigation Procedure

Step 1: Gather Current Metrics

Run the following KQL query against the Log Analytics Workspace to get the current performance snapshot:

Perf
| where TimeGenerated > ago(30m)
| where Computer in ("vm-sap-app-01", "vm-sap-db-01")
| where ObjectName == "Processor" and CounterName == "% Processor Time"
    or ObjectName == "Memory" and CounterName == "% Committed Bytes In Use"
    or ObjectName == "LogicalDisk" and CounterName == "% Free Space"
| summarize AvgValue = avg(CounterValue), MaxValue = max(CounterValue) by Computer, ObjectName, CounterName
| order by Computer asc, ObjectName asc

Step 2: Check for Anomalies

Compare against the baseline (last 7 days):

Perf
| where TimeGenerated > ago(7d)
| where Computer in ("vm-sap-app-01", "vm-sap-db-01")
| where ObjectName == "Processor" and CounterName == "% Processor Time"
| summarize
    AvgCPU = avg(CounterValue),
    P95CPU = percentile(CounterValue, 95),
    MaxCPU = max(CounterValue)
    by Computer, bin(TimeGenerated, 1h)
| order by TimeGenerated desc

Step 3: Identify Top Processes (if guest diagnostics available)

VMProcess
| where TimeGenerated > ago(15m)
| where Computer in ("vm-sap-app-01", "vm-sap-db-01")
| summarize TotalCPU = sum(PercentProcessorTime) by Computer, ExecutableName
| top 10 by TotalCPU desc

Step 4: Check Recent Changes

Query Activity Logs for recent modifications:

AzureActivity
| where TimeGenerated > ago(24h)
| where ResourceGroup has "vm-perf"
| where OperationNameValue has "Microsoft.Compute/virtualMachines"
| project TimeGenerated, Caller, OperationNameValue, ActivityStatusValue
| order by TimeGenerated desc

Read the full file on GitHub · 138 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. 1mo ago First seen · 138 lines · 0 tokens per session scan A 49cdc6dec428

Subscribe to this mod's changes

vm-performance-diagnostics is a skill published in the GitHub repository microsoft/sre-agent (179 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,056 tokens. 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.

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