backtesting-py-oracle
Pass
Audited by Gen Agent Trust Hub on Apr 4, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security violations were identified during the analysis of the skill content and associated files.
- [SAFE]: The skill provides legitimate technical documentation for data science and financial modeling workflows, specifically addressing logic errors (anti-patterns) in backtesting environments.
- [SAFE]: Code snippets utilize well-known, reputable libraries such as NumPy and Bokeh for data processing and visualization.
- [SAFE]: The allowed-tools (Bash, Read, Grep, Glob) are appropriate for the skill's stated purpose of running backtests, validating scripts, and comparing file contents.
- [SAFE]: References to local file paths and scripts are consistent with a developer's project environment and the author's specified context.
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