tokuin — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 nooscraft · LLM Plugin · ★ 142

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

🔒 Is tokuin safe to install? View the security audit →

About tokuin

🧮 Tokuin A fast, CLI tool to estimate token usage, control API costs, and compress prompts for LLM providers. Built in Rust for performance, portability, and safety. ✨ What's in v0.2.0 Prompt Compression — Reduce prompt tokens by 70-90% using the Hieratic format Quality Metrics — Measure compression fidelity (semantic similarity, critical instruction preservation, structural integrity) LLM-as-a-Judge — Compare outputs from original vs compressed prompts using an LLM judge Incremental Compression — Compress long conversations turn-by-turn without re-processing history Structured Mode — Compression-aware handling of JSON, code blocks, HTML tables, and technical docs Everything from v0.1.x: token counting, cost estimation, multi-model comparison, load testing 🚀 Installation Quick Install (macOS & Linux) Detects your platform, downloads the latest release, verifies its checksum, and installs to (or if root access

llmsprompt-engineeringrusttokenizer

Quick Facts

Stars142
Forks10
LanguageRust
CategoryLLM Plugin
Quality Score69.9414968538784/100
Open Issues8
Last Updated2026-07-14
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 6 similar tools

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

  • lilypad by Mirascope · ⭐ 213

    Open-source versioning, tracing, and annotation tooling.

  • vestige by samvallad33 · ⭐ 645

    The memory + security kernel for AI agents. Strata: a signed append-only log, receipts on every write, exact-h

  • gateway by adaline · ⭐ 605

    The only fully local production-grade Super SDK that provides a simple, unified, and powerful interface for ca

  • awesome-rust-llm by jondot · ⭐ 598

    🦀 A curated list of Rust tools, libraries, and frameworks for working with LLMs, GPT, AI

  • claude-brain by memvid · ⭐ 576

    Give Claude Code photographic memory in ONE portable file. No database, no SQLite, no ChromaDB - just a single

  • simplemind by kennethreitz · ⭐ 537

    Python API client for AI providers that intends to replace LangChain and LangGraph for most common use cases.

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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 142 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 142 stars and 10 forks, indicating an active community.

What are the best alternatives to tokuin?

The top alternatives to tokuin on Agent Skills Hub include lilypad, vestige, gateway. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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