us-stock-researcher

Pass

Audited by Gen Agent Trust Hub on Sep 17, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill handles external data from SEC filings which serves as an ingestion point for potential adversarial content. \n
  • Ingestion points: SEC filings are downloaded from the EDGAR database using scripts/download_sec_filings.py. \n
  • Boundary markers: The skill employs XML-style delimiters (e.g., <sec_filing>) in its prompt templates to separate instructions from external data. \n
  • Capability inventory: The skill can execute local Python scripts via Bash, perform WebSearch, and Write files to the filesystem. \n
  • Sanitization: A dedicated script scripts/clean_sec_filing.py removes SGML tags, HTML metadata, binary data blocks, and zero-width characters before analysis. \n- [COMMAND_EXECUTION]: The skill performs legitimate command execution by running its local Python scripts to automate financial research workflows. These scripts use standard library functions for argument parsing and file management. \n- [EXTERNAL_DOWNLOADS]: The skill depends on established Python packages including google-genai and sec-edgar-downloader to interact with official APIs and regulatory databases.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 17, 2026, 12:24 AM