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SKILL verified MIT Self-run

Gcp Cost Optimizer

skill-armanzeroeight-fastagent-plugins-gcp-cost-optimizer · by armanzeroeight

Analyzes GCP costs and provides optimization recommendations including committed use discounts, rightsizing, and unused resources. Use when optimizing GCP spending or analyzing GCP costs.

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Install

$ agentstack add skill-armanzeroeight-fastagent-plugins-gcp-cost-optimizer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

GCP Cost Optimizer

Quick Start

Analyze GCP costs and implement optimization strategies to reduce spending.

Instructions

Step 1: Analyze current costs

# View billing data
gcloud billing accounts list

# Export billing data to BigQuery
gcloud billing accounts projects link PROJECT_ID \
  --billing-account=BILLING_ACCOUNT_ID

# Query costs
bq query --use_legacy_sql=false \
  'SELECT service.description, SUM(cost) as total_cost
   FROM `project.dataset.gcp_billing_export`
   WHERE DATE(_PARTITIONTIME) >= DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)
   GROUP BY service.description
   ORDER BY total_cost DESC'

Step 2: Identify optimization opportunities

Committed Use Discounts:

  • 1-year or 3-year commitments
  • Up to 57% savings for Compute Engine
  • Up to 70% savings for Cloud SQL

Sustained Use Discounts:

  • Automatic discounts for running instances
  • Up to 30% for instances running >25% of month

Preemptible VMs:

  • Up to 80% savings
  • Suitable for fault-tolerant workloads

Rightsizing:

  • Use Recommender API for suggestions
  • Downsize overprovisioned instances
  • Adjust machine types

Step 3: Implement cost-saving measures

# Get rightsizing recommendations
gcloud recommender recommendations list \
  --project=PROJECT_ID \
  --location=us-central1 \
  --recommender=google.compute.instance.MachineTypeRecommender

# Apply recommendation
gcloud recommender recommendations mark-claimed \
  RECOMMENDATION_ID \
  --project=PROJECT_ID \
  --location=us-central1 \
  --recommender=google.compute.instance.MachineTypeRecommender

Best Practices

  1. Enable billing export to BigQuery
  2. Set up budget alerts
  3. Use labels for cost allocation
  4. Review Recommender suggestions monthly
  5. Implement committed use discounts for stable workloads
  6. Use preemptible VMs for batch processing
  7. Clean up unused resources regularly
  8. Optimize storage classes

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.