estimate-tokens

Estimate token counts for files using word count multiplied by 1.8.

36|4|Updated Feb 11, 2026

Search Tags:#ai #scripting #tokens #context-window #token-count #estimate

Ready to run

npx skills add https://github.com/xg-gh-25/SwarmAI --skill estimate-tokens

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: estimate-tokens
Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_estimate-tokens
Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill estimate-tokens

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps teams estimate token counts for files to plan context window usage and avoid overflows, reducing guesswork and preventing costly failures in AI workflows.

Core Features & Use Cases

Bundled script to compute tokens from a file using word count * 1.8, with formatted output.
Deterministic results suitable for pre-processing, budgeting, and capacity planning.
Use Case: Before sending content to an AI agent, estimate tokens for multiple files to ensure they fit within the 200k token context.

Quick Start

Run the bundled script on a target file to obtain a token estimate.

Frequently Asked Questions about estimate-tokens

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I estimate token counts for files before sending them to an AI?▼

Token count estimation for files is performed by a bundled script that counts words and multiplies by 1.8. This deterministic approach provides formatted output to help you plan context window usage and prevent overflows before AI processing.

What is the best way to budget context window tokens for large documents?▼

The best way to budget context window tokens for large documents is using a deterministic word-count script. It multiplies the word count by 1.8 to estimate tokens, enabling per-project token budgeting and preventing costly AI workflow failures.

Can I check if my files fit within a 200k token context window?▼

You can check if files fit within a 200k token context by running the bundled estimation script. It computes token estimates from file word counts to ensure your content stays within context limits before sending it to an AI agent.

How does the token estimation mechanism work for AI preprocessing?▼

The token estimation mechanism works by counting the total words in a target file and multiplying that number by 1.8. This deterministic calculation provides a quick token estimate formatted for easy consumption during AI preprocessing.

Are there limitations to using a word count formula for estimating tokens?▼

A limitation of using a word count formula for estimating tokens is its reliance on a fixed 1.8 multiplier, which provides an approximation rather than an exact tokenizer count. This means it is best for capacity planning, not precise billing.