detecting-data-and-model-poisoning

Pass

Audited by Gen Agent Trust Hub on Aug 6, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill documentation includes instructions for installing reputable third-party libraries from official package registries, specifically identifying IBM's Adversarial Robustness Toolbox (ART), Cleanlab, and Hugging Face's safetensors as primary dependencies.
  • [COMMAND_EXECUTION]: The provided scripts/agent.py script executes local file operations, including globbing and SHA-256 hashing, to perform integrity checks on machine learning weights and data files.
  • [SAFE]: The skill is a defensive tool that follows security best practices for the ML supply chain, including promoting non-executable serialization formats (safetensors) over risky alternatives (pickle) and providing explicit warnings to operate within isolated test environments.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 6, 2026, 05:47 PM
Security Audit — agent-trust-hub — detecting-data-and-model-poisoning