Afrexai Cloud Cost Audit

What This Skill Does

The Afrexai Cloud Cost Audit skill, developed by 1kalin, serves as a specialized diagnostic engine for cloud infrastructure management. By processing your billing exports, cost explorer screenshots, or direct input, it performs a granular analysis of spend across three major providers: AWS, Azure, and GCP. The skill evaluates your environment against 8 distinct cost domains including Compute, Storage, Networking, Databases, AI/ML, Observability, and Security.

It works by systematically identifying waste patterns, such as idle compute instances, inefficient storage tiering, or NAT gateway over-utilization. After identifying these issues, the skill provides a calculated financial breakdown of potential savings, prioritizing them into a 90-day actionable roadmap that distinguishes between 'quick wins' and 'strategic moves.' By utilizing this skill, organizations move from reactive billing reviews to proactive architectural optimization.

Installation

To add this skill to your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/1kalin/afrexai-cloud-cost-audit

Use Cases

• Quarterly Budget Reviews: Use this tool to generate executive summaries for leadership that justify infrastructure spend and highlight cost reduction initiatives.
• Migration/Modernization: Identify legacy database licensing waste or over-provisioned RDS instances before a migration project.
• AI Infrastructure Audits: Specifically target bloated AI/ML spend by identifying GPU idle time and unnecessary high-performance inference instances.
• FinOps Optimization: Continuously monitor cloud waste patterns to ensure your organization adheres to established 2026 benchmarks regarding node utilization and storage lifecycles.

Example Prompts

1. "Analyze my attached AWS Cost Explorer CSV file and list the top 5 areas where I can save money within 30 days."
2. "I am seeing a spike in my GCP networking costs. Can you audit this data to see if it is related to cross-AZ traffic or NAT gateway over-usage?"
3. "Review my AI infrastructure spend and identify if I am over-provisioning GPUs for models that could run on CPU instances."

Tips & Limitations

• Data Privacy: Ensure sensitive data or proprietary account IDs are masked before uploading screenshots or exported billing reports.
• Accuracy: The skill is most accurate when provided with granular, raw data (e.g., CSV exports) rather than summarized PDF reports.
• Contextual Awareness: While the skill provides high-level benchmarks, always cross-reference recommendations with your actual business availability requirements; not all idle resources are waste if they are intended for high-availability failover.