deep-research

Pass

Audited by Gen Agent Trust Hub on Jul 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill follows secure design patterns for AI agents. It explicitly labels external content as data rather than instructions to prevent indirect prompt injection.
  • [EXTERNAL_DOWNLOADS]: The skill communicates with established academic infrastructure including Crossref (api.crossref.org), OpenAlex (api.openalex.org), Semantic Scholar (api.semanticscholar.org), and arXiv (export.arxiv.org). These are well-known services used for their intended purpose of bibliographic verification.
  • [COMMAND_EXECUTION]: The timeline_extraction_agent utilizes the standard 'pdftotext' command-line utility to extract metadata from local documents. This is a common and legitimate practice for academic research automation.
  • [PROMPT_INJECTION]: The skill includes robust internal controls such as the 'Concession Threshold Protocol' in the devils_advocate_agent and 'Intent Detection Layer' in the socratic_mentor_agent to maintain agent integrity and prevent behavioral manipulation.
  • [DATA_EXFILTRATION]: While the skill makes external network requests, they are limited to specific academic APIs. No patterns of sensitive data exfiltration (e.g., environment variables or credentials) were observed.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 14, 2026, 03:04 AM
Security Audit — agent-trust-hub — deep-research