---
title: "Monitor coding-agent token spend with Splitrail"
description: "Track token burn, spend, and model mix across multiple coding-agent tools from one local monitoring workflow."
verification: "listed"
source: "https://github.com/Piebald-AI/splitrail"
author: "Piebald AI"
publisher_type: "organization"
category:
  - "Monitoring & Alerts"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "Piebald-AI/splitrail"
  github_stars: 159
---

# 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

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Download the Splitrail binary from the GitHub releases page, run the CLI against your local usage data, or start `splitrail mcp` if you want agents to query usage stats programmatically.
```

## Documentation

- https://github.com/Piebald-AI/splitrail

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/monitor-coding-agent-token-spend-with-splitrail/)