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
⭐ 159 GitHub stars
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill monitor-coding-agent-token-spend-with-splitrail
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
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.