xdp-testing

Flujo de trabajo de ejecución de pruebas y depuración de XDP-for-Windows. Úselo al ejecutar pruebas (funcionales, spinxsk, pktfuzz, ringperf, rxfilter, xskmaprx, xskfwdkm), depurando…

npx skills add https://github.com/microsoft/xdp-for-windows --skill xdp-testing

XDP for Windows: Testing & Debugging

This skill covers everything an agent needs to execute tests on the required separate test machine, attach kd for crash analysis, and recover the machine to a known-good state after a bugcheck.

[!IMPORTANT] All XDP testing must occur on a separate Windows test machine — never the dev machine. Always pass -ComputerName <machine> explicitly on every test command. Do not rely on tools\remote-set-default.ps1 alone — the session default lives in the PowerShell global scope and is silently lost when a new terminal spawns (after Start-Process, kd sessions, or whenever the tool host opens a fresh shell). A test script invoked without -ComputerName and without an active session default will run against the dev machine and may damage local state. Treat -ComputerName as required.

When to Use

  • Running any of: functional.ps1, spinxsk.ps1, prepare-machine.ps1 (non-build scenarios), check-drivers.ps1, rxfilter.ps1, rxfilterperf.ps1, ringperf.ps1, xskmaprx.ps1, xskfwdkm.ps1, pktfuzz.ps1.
  • Triggering, observing, or analyzing a kernel bugcheck.
  • Recovering a test machine that's stuck after a crash.
  • Choosing default parameters for a test invocation.

Build-only scripts (always local, ignore -ComputerName)

build.ps1, merge-artifacts.ps1, publish-nuget.ps1, prepare-machine.ps1 -ForBuild / -ForEbpfBuild, create-test-archive.ps1, update-nuspec.ps1.

Remote-test workflow

  1. Ask the user once per chat session which test machine to use: "Which test machine should I run tests on?". Accept hostname, FQDN, or IP. Remember the value for the rest of the session and pass it as -ComputerName <machine> on every test invocation.

  2. (Optional, human convenience only) set the session default. Does not replace -ComputerName for agent-driven runs:

    .\tools\remote-set-default.ps1 <machine>
    
  3. Run any test script with -ComputerName — it auto-deploys artifacts\bin\<plat>_<cfg>\ and streams output back:

    .\tools\functional.ps1 -ComputerName <machine> -ListTestCases
    .\tools\functional.ps1 -ComputerName <machine> -TestCaseFilter "Name=GenericBinding"
    .\tools\spinxsk.ps1   -ComputerName <machine> -Minutes 5
    
  4. Credentials. First connect auto-adds the host to WSMan TrustedHosts (UAC prompt) and, if WinRM rejects with auth error, prompts at the console (Read-Host, no GUI) for username and password. Credentials are cached in $global:XdpRemoteCredentialCache for the rest of the session. Do not generate Get-Credential calls or store passwords in scripts.

    [!IMPORTANT] When run by an agent, console password prompts are invisible to the user (the terminal is not interactive and any typed characters would be shown in plaintext). If a test command stalls waiting for credentials, do not send them to the terminal. Instead, collect username and password through the chat UI (vscode_askQuestions) and pass them to subsequent commands via the -Credential parameter or by pre-populating $global:XdpRemoteCredentialCache before re-running the script.

  5. One-time test-machine setup (the user must run, requires elevation):

    .\tools\remote.ps1 -EnableRemoting
    

    If the user hasn't done this, the connection fails with "WinRM client cannot process the request" — surface this and ask them to run it.

  6. Build first. Always run .\tools\build.ps1 (or rely on a recent build) before remote test commands, since deploy pulls from artifacts\bin\<plat>_<cfg>\.

Choosing test parameters

When the user doesn't specify parameters, derive sensible defaults from the matching job in .github/workflows/ci.yml. That file is the source of truth for which switches each test exercises in CI.

  • spinxsk: tools/spinxsk.ps1 -Verbose -Stats -Driver <XDPMP|FNMP> -Minutes <N> -XdpmpPollProvider <NDIS|FNDIS> -SuccessThresholdPercent <pct> -EnableEbpf [-TxInspect]. Scale -Minutes down for smoke runs as requested.
  • functional: mirror -Config, -Platform, and any -TestCaseFilter / -XdpInstaller flags from the CI job.
  • perf/fuzz: copy the CI invocation verbatim, adjusting only duration/iteration counts when the user asks for a shorter run.

Respect explicit user overrides; leave everything else at CI defaults.

Kernel debugger (kd) attach for bugcheck monitoring

Test machines typically have a kd "head" already attached and exposing a debug server over a named pipe (started on the head with .server npipe:pipe=<name>). To watch for breaks during a test run, attach a passive remote kd client from the dev machine in a separate background terminal before kicking off the test:

# Run with mode=async; <pipe-name> defaults to the same value as
# -ComputerName / Set-XdpRemoteDefault.
kd.exe -remote npipe:server=localhost,pipe=<pipe-name>

kd usage rules

  • Always -remote npipe:server=localhost,pipe=<name> — never -k com:pipe,port=... (that's the serial-pipe transport for VMs and will not connect to a kd debug server).
  • Default pipe to the value of -ComputerName / Set-XdpRemoteDefault. If that fails to connect, ask the user once for the correct pipe name.
  • Run kd mode=async so test invocations stream output in parallel.
  • Periodically check the kd terminal for break-in prompts (kd> after a break) or bugcheck banners; surface them to the user, otherwise let kd run idle.
  • If kd reports "Cannot connect to server" or exits immediately, no kd head is currently attached. Inform the user and continue without kd.
  • Keep kd attached across reboots. After .reboot, leave the kd terminal running — secondary breaks (early-boot Driver Verifier hits, watchdog timeouts, follow-on bugchecks from corrupted state) often happen during the next boot.
  • Issuing .reboot non-interactively from the dev machine. Use kd.exe -cf <scriptfile> with a hidden window:
    $cmd = New-TemporaryFile
    Set-Content -Path $cmd -Value ".reboot`r`nqd"
    Start-Process kd.exe -ArgumentList @(
        "-remote","npipe:server=localhost,pipe=<machine>",
        "-cf",$cmd.FullName) -PassThru -WindowStyle Hidden |
        ForEach-Object { $_.WaitForExit(60000) | Out-Null }
    Remove-Item $cmd.FullName -Force
    
    Do not try to drive an interactive kd> prompt via PowerShell's terminal stdin — that connects you to the host shell, not kd. Then poll Test-WSMan -ComputerName <machine> until it succeeds.
  • When the chat session ends or the user moves on, kill the kd terminal.

Bugcheck recovery loop

Bugchecks frequently leave the test machine in a partially-corrupted state that prevents the next iteration from running. The recovery script is tools\check-drivers.ps1 -Force. The dev loop cannot move on until that command reports "No loaded XDP drivers found!".

Recovery doctrine

  • Bugchecks can corrupt on-disk and registry state. Files written in the seconds before the crash may be truncated, partially written, or filled with NUL bytes. Driver registry keys, INF/catalog files, PnP metadata, and Windows Installer product databases are common victims.

  • Reinstall over partial state when feasible. When an installer/MSI/INF reports the product is missing from its database but the on-disk binaries are still present, reinstall on top of the existing layout (which reseeds the database) and then run the normal uninstall. Prefer this over hand-rolled service/driver teardown.

  • Recovery flags MUST be opt-in. Behaviors that downgrade errors, reinstall over corruption, or paper over partial state belong behind a -Force switch on the recovery script (e.g. tools\check-drivers.ps1 -Force). Don't change default install/uninstall behavior — that would silently mask real bugs.

  • Persist until clean. Each bugcheck tends to expose a slightly different corruption (NUL-filled scripts last time, wedged eBPF service this time, something else next time). When check-drivers.ps1 fails:

    1. Read the actual error and identify which component / step is stuck.
    2. Improve tools\setup.ps1 (or tools\check-drivers.ps1) with a targeted fix for that specific failure mode — add a stuck service to the cleanup list, detect a specific MSI exit code, add a NUL-byte check for a specific file path, etc.
    3. Re-run check-drivers.ps1 -Force and repeat until it succeeds.
    4. Only then return to the build/test/deploy loop.

    Do not stop at "the recovery is partially working" — partial recovery means the next test run will hit the residual broken state and waste an iteration. Avoid broad ignore-everything error handling; recovery should be targeted and understandable.

Common test commands

# Functional tests
.\tools\prepare-machine.ps1 -ComputerName <machine> -ForFunctionalTest
.\tools\functional.ps1 -ComputerName <machine> -Config Debug -Platform x64
.\tools\functional.ps1 -ComputerName <machine> -TestCaseFilter "Name=GenericBinding"
.\tools\functional.ps1 -ComputerName <machine> -ListTestCases
.\tools\log.ps1 -Convert -Name xdpfunc

# Stress tests (spinxsk)
.\tools\prepare-machine.ps1 -ComputerName <machine> -ForSpinxskTest
.\tools\spinxsk.ps1 -ComputerName <machine> -XdpmpPollProvider FNDIS -QueueCount 2 -Minutes 10
.\tools\log.ps1 -Convert -Name spinxsk

# Recovery
.\tools\check-drivers.ps1 -ComputerName <machine> -Force

See docs/remote-testing.md for the human-facing reference.

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
Guía para instrumentar aplicaciones web con Azure Application Insights. Proporciona patrones de telemetría, configuración del SDK y referencias de configuración. CUÁNDO: cómo instrumentar una aplicación, SDK de App Insights, patrones de telemetría, qué es App Insights, guía de Application Insights, ejemplos de instrumentación, mejores prácticas de APM.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development