tokscale: Track token usage across AI coding agents from your terminal

by junhoyeo · Codex Skill · ★ 5.8k

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

How to install tokscale

npx tokscale@latest
bunx tokscale@latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-agentsampcodeclaudeclaude-codeclawdbotcodexcursorcursor-idedroid

Quick Facts

Stars5,804
Forks478
LanguageRust
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Open Issues73
Last Updated2026-11-06
Created2025-12-01
Platformsclaude-code, cli, codex, gemini, rust
Est. Tokens~34k

About tokscale

-- 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. [![GitHub Contributors](http

Compatible Skills

These tools work well together with tokscale for enhanced workflows:

  • bridle — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • oh-my-claudecode — semantic(0.20)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • ClawX — semantic(0.15)+complementary+rare_topics+similar_pop+shared_platform (50%)
  • OpenClawChineseTranslation — semantic(0.19)+complementary+rare_topics+similar_pop+shared_platform (46%)
  • secure-openclaw — semantic(0.19)+complementary+rare_topics+similar_pop+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Codex Skill tools