Analyze a GitHub Copilot usage CSV for AI Credit cost control, outliers, model usage, and budget recommendations.
Copilot ✓Cursor —Kilo —
AuthorNeexoCore
Updated
costusage
Analyze a GitHub Copilot usage CSV.
Focus on cost control.
Find:
total estimated AI Credit cost
top users by cost
top models by cost
top days by cost
outlier sessions
expensive model usage
usage that should be moved to lighter models
usage that suggests overly broad agent tasks
Return:
executive summary
top cost drivers
recommended model restrictions
recommended user budgets
recommended repository guardrail changes
follow-up questions
Do not normalize away outliers. Outliers are the point.
Raw content
Copy into your project — e.g. .instructions.md, .agent.md, or SKILL.md
Analyze a GitHub Copilot usage CSV.
Focus on cost control.
Find:
- total estimated AI Credit cost
- top users by cost
- top models by cost
- top days by cost
- outlier sessions
- expensive model usage
- usage that should be moved to lighter models
- usage that suggests overly broad agent tasks
Return:
1. executive summary
2. top cost drivers
3. recommended model restrictions
4. recommended user budgets
5. recommended repository guardrail changes
6. follow-up questions
Do not normalize away outliers. Outliers are the point.