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eco-analyze

Analyze Claude Code usage logs to calculate carbon emissions per model and session.

Updated Apr 23, 2026
Search Tags:#sustainability#environment#usage analysis#climate change#carbon footprint#AI impact
One-click install
npx skills add https://github.com/pooriaarab/skills --skill eco-analyze
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eco-analyze
Source: https://github.com/pooriaarab/skills/tree/main/eco-analyze
Command: npx skills add https://github.com/pooriaarab/skills --skill eco-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users quantify the environmental impact of their Claude Code usage, making it easier to understand and reduce carbon emissions associated with AI activities.

Core Features & Use Cases

  • Emission Calculation: Analyzes usage logs to compute CO₂ emitted per session and model.
  • Real-World Comparisons: Converts carbon metrics into relatable equivalents like flights, driving, or kettles.
  • Use Case: A user wanting to track their AI's environmental impact over a specific period can run this Skill to generate detailed reports and comparisons.

Quick Start

Provide your Claude Code session logs to see your carbon footprint in an easy-to-understand format.

Frequently Asked Questions about eco-analyze

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate the carbon footprint of my AI usage logs?▼

You can calculate your AI carbon footprint by providing Claude Code session logs to analyze total CO₂ emissions generated per session and model. This requires log files and predefined emission rates to quantify environmental impact.

What do I need to measure AI carbon emissions per session?▼

Measuring AI carbon emissions per session requires Claude Code session logs and predefined model emission rates. The analysis computes total CO₂ emitted per session and model, allowing you to monitor environmental impact.

Can I compare my AI carbon footprint to real-world equivalents?▼

You can compare your AI carbon footprint to real-world equivalents. The analysis converts carbon metrics into relatable comparisons like flights, driving, or kettles to contextualize environmental impact.

Does this tool support carbon tracking for multiple AI models?▼

Yes, carbon tracking supports multiple AI models. It analyzes Claude Code usage data to determine total carbon emissions generated, offering detailed breakdowns by model and session to monitor environmental impact.

What is the best way to track environmental impact during AI deployment?▼

The best way to track environmental impact during AI deployment is to analyze usage logs for total carbon emissions generated. This provides detailed breakdowns by model and session to monitor and reduce carbon footprint.

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