HelpSummarizer

HelpSummarizer is a command-line tool that uses AI to generate concise, readable summaries of shell command help output. Perfect for quickly understanding complex command usage without parsing lengthy documentation.

Features

• AI-powered summaries: Leverages language models to create clear, concise explanations
• Local and remote models: Supports both local GGUF files and Hugging Face models
• Customizable context: Adjust token limits and input length for optimal performance
• Simple interface: One command to get help for any shell tool

Quick Start

Installation

curl -sSL https://raw.githubusercontent.com/j341nono/HelpSummarizer/main/install.sh | bash

Basic Usage

• Summarize a command's help output

helpsummarizer --command cat

• Use a specific local model

helpsummarizer --command grep --model /path/to/model.gguf

• Use a Hugging Face model

helpsummarizer --command ls --model hugging-quants/Llama-3.2-3B-Instruct-Q4_K_M-GGUF --filename llama-3.2-3b-instruct-q4_k_m.gguf

Configuration Options

Option	Type	Default	Description
--command	string	required	Shell command to summarize (e.g., ls, cat, grep)
--model	string	optional	Path to GGUF model file or Hugging Face repository name
--filename	string	optional	Specific model file/variant when using Hugging Face models
--n_ctx	integer	512	Maximum context tokens for the language model
--help_command_length_limit	integer	400	Maximum characters to extract from command help output

Examples

Basic Command Summary

helpsummarizer --command find

Advanced Configuration

helpsummarizer \
  --command grep \
  --model /models/gemma-2b.gguf \
  --n_ctx 256 \
  --help_command_length_limit 300

Using Hugging Face Models

helpsummarizer \
  --command awk \
  --model huggingface/CodeBERTa-small-v1 \
  --filename model.bin

How It Works

1. Extract Help: Runs <command> --help to get the raw help output
2. Process: Truncates output based on --help_command_length_limit
3. Summarize: Feeds the help text to the specified language model
4. Output: Returns a concise, human-readable summary

Requirements

• Unix-like operating system (Linux, macOS)
• Python 3.7+ (for local models)
• Internet connection (for Hugging Face models)

Troubleshooting

Model not found: Ensure the model path is correct and the file exists Context too small: Increase --n_ctx if summaries are cut off Help output too long: Reduce --help_command_length_limit for very verbose commands

Contributing

Contributions are welcome! Please feel free to submit issues or pull requests on the GitHub repository.