splitrail — Codex Skill by Piebald-AI

by Piebald-AI · Codex Skill · ★ 200

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About splitrail

Check out Piebald We've released Piebald, the ultimate agentic AI developer experience. \ Download it and try it out for free! https://piebald.ai/ Scroll down for Splitrail. :pointdown: Splitrail Splitrail is a fast, cross-platform, real-time token usage tracker and cost monitor for: Gemini CLI (and Qwen Code) Claude Code Codex CLI Cline / [Roo Code](

agenticanalyzerblazing-fastccusageclaude-codeclinecodexgcusagegemini-clikilo-code

Quick Facts

Stars200
Forks18
LanguageRust
CategoryCodex Skill
LicenseMIT
Quality Score51.978/100
Open Issues11
Last Updated2026-06-16
Created2025-07-12
Platformsclaude-code, cli, codex, gemini, rust
Est. Tokens~23k

splitrail alternative? Top 6 similar tools

Looking for a splitrail alternative? If you're comparing splitrail with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is splitrail?

splitrail is Fast, cross-platform, real-time token usage tracker and cost monitor for Gemini CLI / Claude Code / Codex CLI / Qwen Code / Cline / Roo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / Piebal. It is categorized as a Codex Skill with 200 GitHub stars.

What programming language is splitrail written in?

splitrail is primarily written in Rust. It covers topics such as agentic, analyzer, blazing-fast.

How do I install or use splitrail?

You can find installation instructions and usage details in the splitrail GitHub repository at github.com/Piebald-AI/splitrail. The project has 200 stars and 18 forks, indicating an active community.

What license does splitrail use?

splitrail is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to splitrail?

The top alternatives to splitrail on Agent Skills Hub include terminal-jarvis, rulebook-ai, maestro-orchestrate. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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