deep-research

Pass

Audited by Gen Agent Trust Hub on May 29, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill performs automated metadata retrieval and citation verification through well-known academic services, including the Semantic Scholar API, Crossref API, and OpenAlex API. These operations are used to ground claims in existing literature and detect fabricated references.\n- [COMMAND_EXECUTION]: The timeline_extraction_agent utilizes the standard pdftotext system utility to extract publication dates from the first page of local PDF files. This is a legitimate workflow for establishing document provenance and ensuring temporal integrity in research reports.\n- [SAFE]: The architecture includes multiple defensive layers, such as a Standalone-Mode Self-Gate in the report compiler to prevent citations without verifiable locators, and Iron Rules across all agents to maintain strict role boundaries and behavioral alignment. The use of HTML comments for hidden inter-agent metadata is a well-documented and structured approach to maintaining data state without affecting prose quality.
Audit Metadata
Risk Level
SAFE
Analyzed
May 29, 2026, 09:07 AM
Security Audit — agent-trust-hub — deep-research