zach-product-research

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFECOMMAND_EXECUTIONDYNAMIC_EXECUTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses Python scripts to automate statistical aggregation, text extraction, matrix calculation, and deliverables rendering (scripts/parse_top100_dimensions.py, scripts/cross_analysis.py, and scripts/render_deliverables.py). These commands are fully transparent, statically coded, and restricted to work within local workspace files without arbitrary command shell vulnerabilities.
  • [DYNAMIC_EXECUTION]: Local workspace automation via standard standard Python data science formats (openpyxl tool chains) is used to translate clean multi-sheet inputs to local HTML templates. There is no presence of untrusted dynamic payload evaluation, remote command injection vectors via variables (exec or un-sanitized eval), or unsafe third-party code hydration mechanisms.
  • [SAFE]: The overall security structure implements strong data encapsulation constraints. Configuration files strictly require outputs to remain nested inside local relative vendor directories (outputs/market-research/{brand}/). Multi-format execution limits ensure there is no outbound network risk or credential data processing flaws.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 07:47 AM
Security Audit — agent-trust-hub — zach-product-research