algo-rec-content

Pass

Audited by Gen Agent Trust Hub on Sep 18, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns detected. The skill provides reference material for content-based recommendation algorithms and hybrid strategies.
  • [EXTERNAL_DOWNLOADS]: The documentation in references/feature-extraction.md references scikit-learn, scipy, and numpy in Python code snippets. These are recognized as well-known, industry-standard libraries for data science and machine learning.
  • [INDIRECT_PROMPT_INJECTION]: The skill describes processing item attributes and user interaction history, which are external data ingestion points. The implementation logic is confined to mathematical similarity calculations (TF-IDF, Cosine Similarity) and feature extraction within the agent context, with no capabilities for file-system writing, network exfiltration, or shell execution.
  • [COMMAND_EXECUTION]: No evidence of unauthorized command execution, privilege escalation, or persistence mechanisms was found in the instructions or code examples.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 18, 2026, 02:05 PM
Security Audit — agent-trust-hub — algo-rec-content