technical-analysis
Pass
Audited by Gen Agent Trust Hub on Mar 1, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The instructions and examples provided are strictly functional and do not contain any patterns designed to override system prompts, bypass safety guidelines, or extract sensitive instructions.
- [DATA_EXPOSURE_AND_EXFILTRATION]: No sensitive file access (e.g., SSH keys, environment files) or unauthorized network exfiltration attempts were detected. The scripts only process ticker symbols and period strings.
- [UNVERIFIABLE_DEPENDENCIES_AND_REMOTE_CODE_EXECUTION]: The dependencies listed (numpy, pandas, pandas-ta, yfinance) are established, reputable libraries for financial data processing. There is no remote code execution or dynamic script downloading.
- [COMMAND_EXECUTION]: User-provided inputs (symbols and periods) are parsed using argparse and passed as string arguments to Python functions. Basic sanitization (strip and uppercase) is applied to symbols, and no shell-escaping vulnerabilities are present.
- [INDIRECT_PROMPT_INJECTION]: The skill processes external data (ticker symbols) provided by users.
- Ingestion points:
symbolsandsymbolarguments in scripts/correlation.py and scripts/technicals.py. - Boundary markers: Not explicitly implemented in the wrapper scripts.
- Capability inventory: The scripts are limited to data retrieval and mathematical computations via the trading_skills library.
- Sanitization: Inputs are cleaned using .strip() and .upper() before being used as keys for data fetching, effectively neutralizing potential injection payloads.
Audit Metadata