peer-review

Pass

Audited by Gen Agent Trust Hub on Sep 17, 2026

Risk Level: SAFE
Full Analysis
  • [PROMPT_INJECTION]: The skill documentation and scripts contain phrases typically associated with prompt injection, such as 'IGNORE ALL PREVIOUS INSTRUCTIONS'. Analysis confirms these are used as detection targets for a defensive scanner designed to protect the agent from malicious content in manuscripts, rather than as instructions for the agent itself.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted PDF manuscripts, creating an injection surface. It mitigates this by implementing a deterministic security gate that scans for hidden text layers (white-on-white text, tiny fonts, etc.) and metadata-based steering, sanitizing the input before it is processed by the LLM.
  • [COMMAND_EXECUTION]: The skill utilizes a series of local Python scripts for security auditing and quality assurance, including scan_pdf_layers.py for PDF extraction, check_pdf_injection.py for security auditing, check_review_request_types.py for reviewer discipline, and check_self_improvement_claims.py for methodological validation.
  • [EXTERNAL_DOWNLOADS]: The skill requires the pymupdf library for manuscript analysis. No suspicious remote code execution or unauthorized external data exfiltration patterns were identified.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 17, 2026, 02:00 AM
Security Audit — agent-trust-hub — peer-review