attribution-analysis-modeling
Pass
Audited by Gen Agent Trust Hub on Mar 12, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: A comprehensive analysis of all files (README.md, SKILL.md, core_attribution.py, etc.) revealed no malicious instructions, prompt injections, or attempts to bypass safety filters. The skill is focused solely on marketing analytics.
- [EXTERNAL_DOWNLOADS]: The skill identifies dependencies on established and trusted Python packages including pandas, numpy, matplotlib, seaborn, scipy, and networkx. These are standard libraries for data processing and visualization.
- [DATA_EXFILTRATION]: No network-reaching operations (such as requests, curl, or sockets) were found. The tool operates purely on local files and does not attempt to send data to any external domain.
- [COMMAND_EXECUTION]: The skill does not use dangerous functions like eval(), exec(), or subprocess.run() with user-controlled input. Data parsing is performed through safe library calls like pandas.read_csv().
- [CREDENTIALS_UNSAFE]: No hardcoded API keys, tokens, or credentials were found in the codebase.
Audit Metadata