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Letter Token Analyzer Skill

Say goodbye to inaccurate counting from LLMs
The Counting Validator
Core Principle:
A professional-grade tool for letter frequency counting and token analysis, designed to validate LLM performance on counting tasks. It delivers 100% accurate letter counts, analyzes text using GPT-4's tokenizer, and generates professional Markdown reports.
KEY FEATURES
01Precise Counting
100% accurate letter frequency analysis with case sensitivity options
02Token Insights
Reveals token composition using GPT-4's cl100k_base encoding
03Pro Reports
Generates timestamped Markdown reports with a single click
04Security
Built-in protections against malicious inputs
github.com/bjulius/letter-token-analyzer-skill
data-ai·bjulius·2026-01-29·0·🔱 0
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/bjulius/letter-token-analyzer-skill.git
SSH
git clone [email protected]:bjulius/letter-token-analyzer-skill.git
GitHub CLI
gh repo clone bjulius/letter-token-analyzer-skill
FAQ
Q: What are the installation steps for Letter Token Analyzer Skill Agent Skills?
1.Input Text: Provide word/phrase to analyze
2.Select Mode: Choose case sensitivity
3.Run Analysis: Execute counting and tokenization
4.View Report: Get detailed Markdown analysis
Q: What are the highlights of Letter Token Analyzer Skill Agent Skills?
  • GPT-4 tokenizer
  • Case-sensitive analysis
  • One-click reports
  • Academic-grade precision
Q: What are the use cases for Letter Token Analyzer Skill Agent Skills?
  • LLM capability testing
  • Tokenizer comparison
  • Linguistic analysis
  • Teaching demo
Q: What are the limitations of Letter Token Analyzer Skill Agent Skills?
  • English text only
  • Requires Python environment