Install
$ agentstack add skill-armanzeroeight-fastagent-plugins-gcp-cost-optimizer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- Enable billing export to BigQuery
- Set up budget alerts
- Use labels for cost allocation
- Review Recommender suggestions monthly
- Implement committed use discounts for stable workloads
- Use preemptible VMs for batch processing
- Clean up unused resources regularly
- 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.
- Author: armanzeroeight
- Source: armanzeroeight/fastagent-plugins
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.