scientific-data-extraction

Pass

Audited by Gen Agent Trust Hub on Jul 2, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No security issues were detected. The skill's primary function is to provide documentation and code snippets for scientific data extraction, which aligns with the provided content.
  • [EXTERNAL_DOWNLOADS]: The skill recommends several well-known third-party libraries (e.g., ChemDataExtractor, OpenChemIE, PyMuPDF, Camelot) and system dependencies (e.g., Tesseract, Ghostscript, GROBID Docker image). All external resources are standard tools for the scientific research domain.
  • [COMMAND_EXECUTION]: The skill includes code snippets demonstrating how to use Python's subprocess.run to call legitimate system CLI tools like osra for chemical structure recognition. These examples follow standard integration practices.
  • [DATA_EXFILTRATION]: The provided examples show the use of the PubChem REST API for validating chemical compound data. This is a legitimate research workflow and utilizes a trusted, well-known scientific database.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 2, 2026, 02:12 PM
Security Audit — agent-trust-hub — scientific-data-extraction