Adversarial Robustness Toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poiso adversarial robustness toolbox, python.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bytesagain/ba-adversarial-robustness-toolboxAdversarial Robustness Toolbox
A multi-purpose utility tool for managing data entries, searching records, and exporting information from the command line. The Adversarial Robustness Toolbox CLI provides a lightweight, file-based data management system with timestamped logging and full CRUD operations.
Commands
| Command | Description |
|---|---|
run | Execute the main function with provided arguments |
config | Display configuration file path and log the action |
status | Show current operational status (reports "ready" when healthy) |
init | Initialize the data directory and prepare the environment |
list | List all entries stored in the data log file |
add | Add a new timestamped entry to the data log |
remove | Remove a specified entry from the data store |
search | Search entries by keyword (case-insensitive grep) |
export | Export all stored data to stdout |
info | Display version number and data directory path |
help | Show the full help message with all available commands |
version | Print the current version string |
Data Storage
All data is stored in plain text files under the data directory:
- Data log:
$DATA_DIR/data.log— stores all entries added viaadd, one per line with date prefix - History log:
$DATA_DIR/history.log— audit trail of every command executed with timestamps - Config:
$DATA_DIR/config.json— referenced by theconfigcommand
Default data directory: ~/.local/share/adversarial-robustness-toolbox/
Override by setting the ADVERSARIAL_ROBUSTNESS_TOOLBOX_DIR environment variable:
export ADVERSARIAL_ROBUSTNESS_TOOLBOX_DIR="/custom/path/to/data"
Requirements
- Bash (with
set -euo pipefailsupport) - Standard Unix utilities:
grep,cat,date,echo - No external dependencies or API keys required
When to Use
- Quick data logging — When you need a fast CLI-based way to log timestamped entries for ML security experiments or adversarial testing notes
- Searching through records — When you need to find specific entries across your data log using keyword search
- Exporting data for reports — When you need to dump all stored records to stdout or pipe them into another tool for further analysis
- Lightweight experiment tracking — When you want a minimal, file-based system to track adversarial robustness experiments, model evaluations, or attack results
- System initialization and status checks — When you need to verify the tool is properly initialized and check its operational health
Examples
# Initialize the toolbox and verify status
adversarial-robustness-toolbox init
adversarial-robustness-toolbox status
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bytesagain-ba-adversarial-robustness-toolbox": {
"enabled": true,
"auto_update": true
}
}
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