Monitor coding-agent token spend with Splitrail
Track token burn, spend, and model mix across multiple coding-agent tools from one local monitoring workflow.
What it does
Monitor coding-agent token spend with Splitrail
Track token burn, spend, and model mix across multiple coding-agent tools from one local monitoring workflow.
Prerequisites
Splitrail binary, local agent usage logs or supported agent installations
Installation
Use the upstream install or setup path that matches your environment:
- cargo run
Basic usage or getting-started notes:
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Splitrail is a fast, cross-platform, real-time token usage tracker and cost monitor for:
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Run one command to instantly review all of your CLI coding agent usage. Upload your usage data to your private account on the Splitrail Cloud for safe-keeping and cross-machine usage aggregati...
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Splitrail can run as an MCP (Model Context Protocol) server, allowing AI assistants to query your usage statistics programmatically.
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Extracted from upstream docs: https://raw.githubusercontent.com/Piebald-AI/splitrail/HEAD/README.md
Documentation
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,220 chars)