Parse session JSONL logs to report token usage and cost savings.
npx skills add https://github.com/shirulot/codex-skill --skill caveman-stats-shirulot
Please help me install this Agent Skill. Skill: caveman-stats Source: https://github.com/shirulot/codex-skill/tree/main/caveman-stats Command: npx skills add https://github.com/shirulot/codex-skill --skill caveman-stats-shirulot
This skill solves the lack of transparency regarding token consumption during AI sessions by providing precise, log-based usage metrics instead of relying on potentially inaccurate AI estimations.
Type the command /caveman-stats into the chat interface to display your current session token usage and estimated savings.
High-intent search queries and answers about installing and using this skill.
You can track real-time token usage by parsing local session JSONL log files to extract exact input and output token counts. This ensures accurate metrics by avoiding model-based estimation errors.
Monitor token consumption by reading session JSONL log files directly to calculate precise usage metrics. This intercepts user queries and injects performance statistics as a system-level response for data integrity.
Yes, you can visualize estimated token savings within the Claude Code environment. It calculates savings achieved by analyzing the session log files and displays the efficiency gains of your current interaction mode.
Yes, token usage tracking requires direct read access to session JSONL log files. This access is necessary to ensure data integrity and provide accurate cost-saving analysis instead of estimations.
The best way to verify token budget efficiency is by parsing session JSONL logs to display exact token counts and estimated savings. This provides precise, log-based usage metrics during long coding sessions.
AI-based token usage metrics are inaccurate because they rely on model estimations. Parsing local session JSONL log files directly ensures data integrity and provides exact input and output token counts.
AlbertLin821Analyze Claude Code JSONL session logs to calculate token usage and cost savings.
latestaiagentsTrack token usage, enforce budget limits, and generate cost reports for AI agents.
ma08Persist task status files and reconcile session metadata across machines.
Tyler-R-KendrickParse local JSONL session logs to report token usage and session savings.
