token-counter

name	token-counter
description	Estimate token usage for LLM API calls found in code
user-invocable	false

Token Counter Skill

When you find an LLM API call in code, estimate its token usage using these rules:

Estimation Rules

Input Tokens

• System prompt: Look for system message content. Estimate 1 token per 4 characters.
• User message: Look for user/human message content. If it includes variable interpolation, estimate based on typical content size.
• Few-shot examples: Count examples in the messages array. Each example ≈ 200-500 tokens.
• Tool descriptions: Count tool/function definitions. Each tool ≈ 100-500 tokens.

Output Tokens

• max_tokens parameter: If set, use that as the upper bound.
• If not set: Estimate by task type:
  • Classification/routing: ~10-50 tokens
  • Extraction: ~50-200 tokens
  • Summarization: ~100-500 tokens
  • Code generation: ~200-2000 tokens
  • Creative writing: ~500-4000 tokens

Cost Rates (per 1M tokens)

Model	Input	Output
Haiku / GPT-4o-mini	$0.25	$1.25
Sonnet / GPT-4o	$3.00	$15.00
Opus / GPT-4 / o1	$15.00	$75.00

Per Call Output

• Estimated input tokens: ____
• Estimated output tokens: ____
• Current model cost per call: $____
• Right-sized model cost per call: $____