scada-timeseries

Pass

Audited by Gen Agent Trust Hub on Jul 3, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: Includes instructions for installing standard, well-known data science libraries (pandas, numpy, scipy) via pip to support time-series calculations.
  • [DATA_EXFILTRATION]: Provides code patterns for transmitting processed data to an OSDU platform API using HTTP POST requests. It correctly uses placeholders like '<access_token>' for authentication, ensuring no sensitive credentials are hardcoded.
  • [PROMPT_INJECTION]: The skill implements logic to parse external XML-based data streams. It converts this data into structured JSON manifests for API ingestion, which is a standard data transformation workflow for the Oil & Gas industry.
  • [EXTERNAL_DOWNLOADS]: References official OSDU documentation and community schema repositories for technical guidance and standard compliance.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 3, 2026, 12:42 PM
Security Audit — agent-trust-hub — scada-timeseries