No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Piebald-AI · Claude Skill · ★ 223
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is splitrail safe to install? View the security audit →
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](
| Stars | 223 |
| Forks | 25 |
| Language | Rust |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.9950687480426/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-22 |
| Created | 2025-07-12 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~23k |
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splitrail is Fast, cross-platform, real-time token usage tracker and cost monitor for Claude Code / Codex CLI / Antigravity CLI / Qwen Code / Cline / Zoo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / P. It is categorized as a Claude Skill with 223 GitHub stars.
splitrail is primarily written in Rust. It covers topics such as agentic, analyzer, antigravity-cli.
You can find installation instructions and usage details in the splitrail GitHub repository at github.com/Piebald-AI/splitrail. The project has 223 stars and 25 forks, indicating an active community.
splitrail is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to splitrail on Agent Skills Hub include Clauge, Clauge, horizon. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: