112K Input

Ctoken is a command-line utility designed to count tokens in files, directories, or input streams, specifically tailored for large language models. It is maintained on GitHub by RimantasZ and is intended to assist developers working on AI skills, knowledge bases, or MCP (Multi-Modal Capability) descriptions. The tool simplifies token counting compared to web-based calculators by enabling batch processing of multiple files through a CLI interface. Users include those building AI systems where precise token estimation is critical for cost and performance planning. The tool operates by parsing input content and applying tokenization logic relevant to LLMs, though specific implementation details are not provided in the evidence.

The tool was shared on Hacker News with a GitHub link and a description of its utility in AI development workflows. A comment notes its usefulness for implementing AI skills, knowledge bases, and MCP descriptions, highlighting a practical need for efficient token counting. The post appears to be a standalone utility sharing, not part of a broader announcement or product launch. Its relevance stems from the growing need for developers to manage input sizes when designing AI systems, especially in cost-sensitive environments. The evidence shows it is being discussed in a developer-focused forum, indicating real-world use cases in AI system design.