reflect:cost

Track token usage and expenses for cached, uncached writes, and IO operations.

2|1|Updated Jun 19, 2026

Search Tags:#performance optimization #AI infrastructure #cost analysis #resource monitoring #AI reflection

Ready to run

npx skills add https://github.com/stevengonsalvez/ainb-reflect-memory --skill reflect-cost

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reflect:cost
Source: https://github.com/stevengonsalvez/ainb-reflect-memory/tree/main/plugin/skills/cost
Command: npx skills add https://github.com/stevengonsalvez/ainb-reflect-memory --skill reflect-cost

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires reflect, and includes scripts (resource) components.

What problem does it solve?

This Skill provides detailed insights into the resource usage and cost associated with AI reflection processes, enabling users to understand and optimize their reflection spend.

Core Features & Use Cases

Cost Analysis: Reports on token usage and costs for cached, uncached writes, and IO operations.
Cache Reuse Health: Identifies cache reuse health issues, highlighting inefficient caching.
Recall Followup Rate: Monitors the recall followup rate for session searches, ensuring quality.
Quota Usage: Shows subscription quota usage and writer gate status.
Use Case: Ideal for users looking to optimize AI reflection processes and understand their cost implications.

Quick Start

Use the reflect:cost skill to get the cost report for the last 7 days.

Frequently Asked Questions about reflect:cost

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

FAQPage Schema

How do I monitor token usage and costs for AI reflection processes?▼

You can monitor AI reflection process costs by tracking token usage and expenses for cached, uncached writes, and IO operations. This skill evaluates cache reuse health and recall followup rates to ensure cost-effective reflection.

What is AI reflection cache reuse health and why does it matter for cost analysis?▼

AI reflection cache reuse health identifies inefficient caching patterns in your system. Monitoring this metric helps highlight wasted resources and ensures that token usage remains cost-effective during reflection processes.

How do I get a cost report for AI reflection over the last 7 days?▼

To get a 7-day cost report for AI reflection, use the reflect:cost skill. It analyzes token usage, expenses for IO operations, and subscription quota usage to provide detailed resource insights.

Do I need a specific plugin to analyze AI reflection token expenses?▼

Yes, you need the reflection plugin and appropriate access to cost logs to analyze AI reflection token expenses. The skill relies on these dependencies to track cached and uncached write operations.

Can I check subscription quota usage and writer gate status for AI infrastructure?▼

Yes, you can check subscription quota usage and writer gate status for AI infrastructure. The skill reports these metrics alongside token costs to help you understand resource limits and optimize reflection spend.

What is the best way to optimize AI infrastructure costs for cached and uncached writes?▼

The best way to optimize AI infrastructure costs is by analyzing cache reuse health and recall followup rates. Identifying inefficient caching in uncached writes allows you to reduce token usage and optimize reflection spend.