algo-rec-cf

Pass

Audited by Gen Agent Trust Hub on Sep 18, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides mathematical and algorithmic foundations for recommendation systems. The provided Python implementation in references/matrix-factorization.md uses only standard library modules (math, random) and performs safe numerical computations without any dangerous system calls, network operations, or file system access.
  • [SAFE]: There are no indicators of prompt injection, data exfiltration, or persistence mechanisms. The instructions are clearly technical and aligned with the skill's stated purpose of building recommendation engines.
  • [SAFE]: Metadata and file references are consistent and relevant. The Traditional Chinese metadata is descriptive of the category ('Recommendation Systems') and does not contain deceptive instructions or hidden payloads.
  • [SAFE]: While the skill defines a surface for processing user-item interaction data, the provided implementation logic is strictly mathematical and lacks any dangerous capabilities (such as eval(), subprocess execution, or network requests) that could be exploited via indirect prompt injection.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 18, 2026, 02:05 PM
Security Audit — agent-trust-hub — algo-rec-cf