Skill Detail
Monitor coding-agent token spend with Splitrail
Track token burn, spend, and model mix across multiple coding-agent tools from one local monitoring workflow.
Monitoring & AlertsMulti-Framework
Monitoring & Alerts
Multi-Framework
Security Reviewed
โญ 159 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill monitor-coding-agent-token-spend-with-splitrail
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Splitrail binary, local agent usage logs or supported agent installations
Install & setup
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.
Author
Piebald AI
Publisher
Organization
Last updated
Apr 17, 2026
Quick brief
Use Splitrail when you need a live operational view of token burn, cost, and model mix across multiple coding-agent tools during or after runs. Invoke it instead of checking each product’s native dashboard when the job is cross-tool usage monitoring and cost triage, not everyday agent use. The scope boundary is spend observability for local agent runs, not a general coding assistant or cloud platform listing.