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 junhoyeo · Codex Skill · ★ 5.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tokscale safe to install? View the security audit →
-- A high-performance CLI tool and visualization dashboard for tracking token usage and costs across multiple AI coding agents. [!TIP] v2 is here — native Rust TUI, cross-platform support, and more. I drop new open-source work every week. Don't miss the next one. [、最新 AI 资讯、Pr
Manage multiple Claude Code, OpenCode agents from either TUI or Web for easy access on mobile. Also supports M
Proxy that exposes Antigravity provided claude / gemini models, so we can use them in Claude Code and OpenClaw
Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context eng
📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Co
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succee
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tokscale is 🛰️ Track token usage across AI coding agents from your terminal. 🏅 Global leaderboard with trillions of tokens tracked.. It is categorized as a Codex Skill with 5.5k GitHub stars.
tokscale is primarily written in Rust. It covers topics such as ai, ai-agents, ampcode.
You can find installation instructions and usage details in the tokscale GitHub repository at github.com/junhoyeo/tokscale. The project has 5.5k stars and 447 forks, indicating an active community.
tokscale is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tokscale on Agent Skills Hub include ai-guide, agent-of-empires, antigravity-claude-proxy. 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: