strategy
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill provides standard quantitative analysis tools such as data loading, factor normalization, and backtesting. Capabilities like local file reading via
pandas.read_csvincross_sectional/io.pyare strictly scoped to the skill's primary purpose of processing market data.\n- [INDIRECT_PROMPT_INJECTION]: The skill possesses an ingestion surface for external data (e.g., CSV files and strategy configurations). The numeric nature of the input data and schema validation performed by the backtesting engine serve as inherent mitigations.\n - Ingestion points:
cross_sectional/io.py(load_price_data),cross_sectional/modular_backtester.py(init).\n - Boundary markers: Not present (not applicable for numeric data streams).\n
- Capability inventory: Local file system read (pd.read_csv), data visualization (matplotlib), and numeric computation (numpy/pandas).\n
- Sanitization: Dataframes are validated for required columns (OHLCV) and MultiIndex structure (symbol, eob) before processing.
Audit Metadata