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run-gcsfuse-npi - Run the end-to-end GCSFuse NPI pipeline

Orchestrates GCSFuse NPI setup, conformance tests, benchmarks, validation reporting, and conditional remediation across GCE and GKE targets.

Tags

Updated: 2026-10-04

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Establish SSH connections
  • Provision HNS buckets
  • Set up target buffers
  • Build and push images
  • Run conformance tests
  • Execute benchmark suites
  • Generate validation reports
  • Plan remediation actions

Inputs

  • targets.json configuration
  • Image version
  • GCSFuse version
  • Iteration count
  • Benchmark selection
  • Smoke mode flag
  • Baseline BigQuery dataset ID

Outputs

  • Active SSH master sockets
  • Provisioned HNS GCS buckets
  • Mounted target buffers
  • Pushed container image
  • Conformance result JSON files
  • BigQuery benchmark datasets
  • npi_validation_report.md
  • npi_remediation_plan.md

Requirements

  • GCSFuse source checkout
  • gcloud CLI
  • kubectl CLI
  • bq CLI
  • GCP resource permissions
  • SSH key at ~/.ssh/google_compute_engine
  • Strict KUBECONFIG isolation
  • GKE Workload Identity
  • GCSFuse CSI driver addon
  • GKE workload metadata

Source

  • Spec: SKILL.md

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GCSFuse
NPI
GCP
GCE
GKE
Benchmarking
Conformance testing
BigQuery
Orchestration
Establish SSH connections
Provision HNS buckets
Set up target buffers
Build and push images
targets.json configuration
Image version
GCSFuse version
Active SSH master sockets
Provisioned HNS GCS buckets
Mounted target buffers