Analyze and visualize token economics comparing search-first methods to blind file reading.
npx skills add https://github.com/mahmoudimus/simba --skill token-stats-mahmoudimus
Please help me install this Agent Skill. Skill: token-stats Source: https://github.com/mahmoudimus/simba/tree/main/skills/token-stats Command: npx skills add https://github.com/mahmoudimus/simba --skill token-stats-mahmoudimus
This Skill helps users understand and quantify the token savings achieved by using a search-first approach to code exploration compared to blind file reading.
simba plugin reduces Claude API costs and improves efficiency.Run the token-stats skill to see a dashboard of your current session's token economics.
High-intent search queries and answers about installing and using this skill.
You can calculate token savings by analyzing session activity logs that compare search-first exploration against blind file reading, providing exact metrics on token costs avoided during your specific development workflow.
Tracking token economics involves visualizing session-specific activity logs that record files read, edited, and searches performed, allowing developers to see tangible proof of API cost optimization and efficiency.
Measuring codebase size metrics involves displaying total files, lines, and estimated tokens in the project, which helps quantify potential token costs and understand the scale of your codebase for cost savings.
A search-first approach reduces Claude API costs by avoiding blind file reading, and this Skill visualizes the actual token savings achieved by comparing estimated token costs between different exploration strategies.
You can visualize historical memory usage data alongside session-specific activity logs, which track files read, edited, and searches performed to show long-term token economics and cost savings trends.
Without comparing search-first methods against blind file reading, the token savings analysis lacks a baseline, making it difficult to accurately quantify the actual cost optimization and efficiency improvements achieved.
VXerysParse AI session log files to report token usage metrics.
aaronjmarsSummarize API token usage and costs from CSV logs into detailed reports.
JerryGanstSearch code structure with tree-sitter AST parsing to locate functions and symbols.
kmshihab7878Analyze cloud and AI consumption costs across Terraform, AWS, and Claude Code usage.