instrument-data-to-allotrope
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFE
Full Analysis
- Data Ingestion Surface: The skill processes external files (CSV, PDF, Excel, TXT) to extract measurement data. While this involves ingesting external content, the skill utilizes specialized parsing libraries and implements sanitization for field names and structured mappings, which is standard for its intended data transformation purpose.
- Dependency Usage: The skill references standard, well-known data science libraries such as
pandas,openpyxl, andpdfplumber, alongsideallotropy, an industry-standard library for laboratory data parsing. These dependencies are appropriate for the skill's scientific use case. - Code Generation for Handoff: The inclusion of
export_parser.pyallows scientists to generate standalone Python scripts for their workflows. This is a documented feature designed to facilitate data engineering tasks and uses template-based generation rather than dynamic execution of untrusted code. - Data Provenance and Integrity: The main conversion script calculates SHA256 hashes of input files and includes detailed provenance metadata in the output JSON. This practice supports data lineage and reproducibility, which are essential for secure and auditable laboratory data management.
Audit Metadata