prediction-markets

Pass

Audited by Gen Agent Trust Hub on Sep 3, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [SAFE]: The skill and its associated Python script perform legitimate data analysis tasks for quantitative research. The code uses standard libraries and follows functional programming patterns for summarization.
  • [INDIRECT_PROMPT_INJECTION]: The skill defines a surface for processing untrusted external data.
  • Ingestion points: The script scripts/prediction_markets_diagnostics.py reads data from a user-provided input.csv file.
  • Boundary markers: The script enforces a fixed schema of required columns but does not use explicit prompt boundary markers for the data content.
  • Capability inventory: The script has the ability to read from the local file system and write diagnostic results to a JSON file.
  • Sanitization: The implementation uses pandas type coercion (pd.to_numeric and pd.to_datetime with errors="coerce"), which prevents non-conforming data from affecting calculation logic.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 3, 2026, 08:46 AM
Security Audit — agent-trust-hub — prediction-markets