tokuin — LLM Plugin by nooscraft

by nooscraft · LLM Plugin · ★ 138

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

About tokuin

CLI tool – estimates LLM tokens/costs and runs provider-aware load tests for OpenAI, Anthropic, OpenRouter, or custom endpoints.

llmsprompt-engineeringrusttokenizer

Quick Facts

Stars138
Forks4
LanguageRust
CategoryLLM Plugin
Quality Score42.75/100
Open Issues1
Last Updated2026-04-21
Created2025-11-06
Platformscli, rust
Est. Tokens~39k

Compatible Skills

These tools work well together with tokuin for enhanced workflows:

  • token_proxy — semantic(0.19)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (68%)
  • claude-code-mux — shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (46%)

tokuin alternative? Top 2 similar tools

Looking for a tokuin alternative? If you're comparing tokuin with other llm plugin tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • microclaw by microclaw · ⭐ 685

    🦀An agentic AI assistant that lives in your chats, inspired by nanoclaw and incorporating some of its design

  • openai-tools by dluc · ⭐ 101

    A collection of tools for working with OpenAI

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Frequently Asked Questions

What is tokuin?

tokuin is CLI tool – estimates LLM tokens/costs and runs provider-aware load tests for OpenAI, Anthropic, OpenRouter, or custom endpoints.. It is categorized as a LLM Plugin with 138 GitHub stars.

What programming language is tokuin written in?

tokuin is primarily written in Rust. It covers topics such as llms, prompt-engineering, rust.

How do I install or use tokuin?

You can find installation instructions and usage details in the tokuin GitHub repository at github.com/nooscraft/tokuin. The project has 138 stars and 4 forks, indicating an active community.

What are the best alternatives to tokuin?

The top alternatives to tokuin on Agent Skills Hub include microclaw, openai-tools. 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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