splitrail
Real-time token usage and cost tracking for coding assistants
All Skills in This Repository (6)
Pure Emerald Level Indicatorstypes
Document Splitrail core data types for conversations, stats, and aggregation results.
tui
Monitors analyzer data changes in a Ratatui terminal interface via tokio channels and file watching.
new-analyzer
Add support for new AI coding agents by implementing analyzers in Splitrail.
mcp
Query usage statistics from Splitrail's MCP server.
performance
Optimize Splitrail parsing and analysis tasks with parallelism and memory-efficient structures.
pricing
Update AI model pricing data and aliases in Splitrail.
Frequently Asked Questions
FAQPage SchemaHow to install Splitrail?▼
Run `npx skills add Piebald-AI/splitrail --all -g -y` in your terminal to install all skills in this suite globally.
How to track token usage across multiple coding assistants?▼
Splitrail automatically discovers and parses local data files from Claude Code, Copilot, Cline, Gemini CLI, and more, then aggregates everything into one unified stats view.
Can I monitor AI coding costs in real time?▼
Yes. Splitrail provides a live terminal UI that watches for file changes and updates your token counts and cost breakdowns instantly.
Does Splitrail work with Claude Code and other AI agents?▼
Yes. It supports Claude Code, GitHub Copilot, Codex CLI, Cline, Roo Code, OpenCode, Grok, and more, and can also run as an MCP server so agents can query usage stats directly.
Can I sync usage data across multiple machines?▼
Yes. You can upload your stats to a private Splitrail Cloud account for safe-keeping and cross-machine aggregation.
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