algorithmic-complexity-review

Pass

Audited by Gen Agent Trust Hub on May 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a static knowledge base for code optimization. All bundled files are documentation or templates with no executable code components.
  • [SAFE]: Programming examples across Python, Go, JavaScript, and Java are used exclusively to illustrate performance anti-patterns and their corresponding fixes. No malicious payloads or commands are present.
  • [SAFE]: Mentioned dependencies (e.g., numpy, dataloader, sortedcontainers) are standard open-source libraries used within their intended algorithmic context.
  • [SAFE]: All external references and URLs point to reputable developer resources, including official language documentation, academic repositories (NIST), and well-known engineering blogs.
  • [SAFE]: No evidence of prompt injection, data exfiltration, or obfuscation was found in the instructions, metadata, or reference files.
Audit Metadata
Risk Level
SAFE
Analyzed
May 17, 2026, 11:49 AM
Security Audit — agent-trust-hub — algorithmic-complexity-review