atmospheric-science-research-skill
Pass
Audited by Gen Agent Trust Hub on Mar 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is dedicated to scientific research tasks using standard Python data science libraries.
- [COMMAND_EXECUTION]: No unauthorized command execution patterns or shell access vectors were detected. Code standards focus exclusively on scientific computation.
- [DATA_EXFILTRATION]: No network activity or unauthorized data access patterns were identified; the skill operates on local datasets for research purposes.
- [REMOTE_CODE_EXECUTION]: The skill does not download or execute remote scripts or binaries.
- [PROMPT_INJECTION]: No attempts to bypass safety filters or override system instructions were found.
- [INDIRECT_PROMPT_INJECTION]: The skill processes scientific data files (NetCDF, GRIB) using established libraries like xarray and does not interpolate untrusted data into prompts or sensitive command contexts.
- Ingestion points: Binary data ingestion is defined in references/compute-standards.md via xr.open_dataset.
- Boundary markers: None (typical for structured scientific formats).
- Capability inventory: Limited to data transformation and image generation.
- Sanitization: Standard library usage for data parsing provides inherent protection against non-executable data formats.
Audit Metadata