A specialized command-line utility for removing redundant whitespace and empty lines from text and JSON files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install text-cleaner-cli
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install text-cleaner-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Text Cleaner CLI?
Text Cleaner CLI is a lightweight, high-performance tool designed to automate the process of sanitizing text data. Within the ecosystem of Openclaw Skills, this utility provides a reliable way to strip away unnecessary formatting artifacts like trailing spaces, multiple empty lines, and redundant horizontal whitespace. It is particularly useful for developers who need to normalize raw data before it is processed by AI agents or indexed into databases.
This skill follows a strict CLI-first philosophy, ensuring that it remains predictable and easy to integrate into larger automation workflows. By avoiding hidden side effects and focusing solely on explicit user-defined inputs, it serves as a robust building block for any developer leveraging Openclaw Skills for data preparation and text management.
Text Cleaner CLI Use Cases
- Sanitizing raw data scraped from the web to remove clutter.
- Cleaning up source code files or documentation by removing trailing whitespaces.
- Pre-processing text datasets before using them for machine learning or LLM fine-tuning.
- Normalizing JSON file structures by removing excessive empty lines.
How Text Cleaner CLI Works
- The user places the target text or JSON file into the skill directory.
- The main Python script is executed with flags specifying the input source and the desired output path.
- The tool reads the source data and applies whitespace normalization logic.
- Cleaned content is simultaneously printed to the standard output (stdout) and written to the specified file.
- The user can verify the results by checking the output file against the original for consistency and formatting accuracy.
Text Cleaner CLI Setup
To start using this utility within Openclaw Skills, follow these steps:
# Navigate to the skill directory
cd text-cleaner-cli
# Check the help menu for all available arguments
python main.py --help
# Run the cleaner on your specific file
python main.py --input data.txt --output data_cleaned.txt
Text Cleaner CLI Data Schema & Taxonomy
The skill utilizes a simple but effective data handling schema to ensure compatibility across different text-based formats.
| Attribute | Type | Description |
|---|---|---|
| --input | Path | The path to the source TXT or JSON file |
| --output | Path | The destination path for the sanitized data |
| --help | Flag | Displays the command-line usage instructions |
| stdout | Stream | Real-time preview of the cleaned output |
Text Cleaner CLI Advanced Features
- Support for both TXT and JSON file extensions, ensuring structured data remains intact.
- Explicit error handling that directs users to the help documentation for parameter correction.
- Stateless execution model, making it ideal for Openclaw Skills automated pipelines.
- Minimal dependency footprint for fast execution in containerized environments.
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