Finops Anomaly Intelligence
Turn AWS billing mysteries into 10-minute root cause reports by correlating cost spikes with engineering events.
Free
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsfinops-anomaly-intelligence
Example session with this skill installed
Investigate why my AWS NAT Gateway costs spiked last week and link it to any recent infrastructure deployments or GitHub PRs.
- Read your context and instructions
- Compiled the finops-anomaly-intelligence
HYPOTHESIS #1 [Confidence: HIGH | 87%]
Root Cause: PR #4821 (@platform-team) removed S3 VPC Endpoint.
Evidence: NatGatewayBytesOut +340% at 14:22 UTC matches PR merge time.
Cost Delta: +$2,403 over 5 days.
Monthly Projection: $18,240.
Remediation: Re-add aws_vpc_endpoint.s3 to Terraform config.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
FinOps Anomaly Intelligence is a root-cause analysis engine designed to investigate and resolve AWS cost spikes. It moves beyond simple alerts by cross-correlating AWS billing data (CUR/Cost Explorer) with engineering activities across GitHub, Jira, CloudWatch, and PagerDuty. At a high level, it detects the anomaly window, identifies impacted services, ranks root-cause hypotheses with confidence scores, and quantifies the "cost of inaction."
Why use this skill
Standard AWS alerts tell you that you spent too much, but they don't tell you why. Manually tracing a $10k spike through CloudTrail logs and PR history can take hours. This skill reduces that to 10 minutes. It is better than simple prompting because it uses a structured sequence of data extraction and correlation scripts to provide proof-based answers, not just hallucinations. It ensures developers see the financial impact of their code changes in real-time.
Supported tools
- Cloud: AWS (Cost Explorer, CUR, CloudWatch)
- VCS/Task Management: GitHub Enterprise, Jira REST API
- Observability/Ops: PagerDuty, Slack API
- Frameworks: Boto3, Pandas, Python 3.10+
What the output looks like
The skill produces structured JSON data for workflows and human-readable Markdown reports. This includes a ranked Hypothesis Report linking specific PRs to dollar amounts, a Cost of Inaction table for executive reporting, and a pre-formatted Jira ticket ready for assignment to the responsible engineering team.
How to install
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- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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Reviews
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Trust & safety
Security scanned
Verified clean 4 months ago
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