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Adversarial Robustness Toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poiso adversarial robustness toolbox, python.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/bytesagain/ba-adversarial-robustness-toolbox
Or

Adversarial 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

CommandDescription
runExecute the main function with provided arguments
configDisplay configuration file path and log the action
statusShow current operational status (reports "ready" when healthy)
initInitialize the data directory and prepare the environment
listList all entries stored in the data log file
addAdd a new timestamped entry to the data log
removeRemove a specified entry from the data store
searchSearch entries by keyword (case-insensitive grep)
exportExport all stored data to stdout
infoDisplay version number and data directory path
helpShow the full help message with all available commands
versionPrint 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 via add, 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 the config command

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 pipefail support)
  • Standard Unix utilities: grep, cat, date, echo
  • No external dependencies or API keys required

When to Use

  1. Quick data logging — When you need a fast CLI-based way to log timestamped entries for ML security experiments or adversarial testing notes
  2. Searching through records — When you need to find specific entries across your data log using keyword search
  3. Exporting data for reports — When you need to dump all stored records to stdout or pipe them into another tool for further analysis
  4. Lightweight experiment tracking — When you want a minimal, file-based system to track adversarial robustness experiments, model evaluations, or attack results
  5. 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

Stars3500
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Updated2026-03-27
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-bytesagain-ba-adversarial-robustness-toolbox": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.