earnings-review

Pass

Audited by Gen Agent Trust Hub on Jul 18, 2026

Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [PROMPT_INJECTION]: The skill processes untrusted external data from financial websites, earnings reports, and analyst call transcripts. This creates a surface for indirect prompt injection where malicious instructions embedded in these documents could influence the agent's behavior.
  • Ingestion points: External financial data sources including Seeking Alpha, IR pages, and news sites.
  • Boundary markers: No specific delimiters or "ignore" instructions are used when processing the external data.
  • Capability inventory: The skill executes shell commands (python3 tools/financial_rigor.py, python3 tools/report_audit.py) and writes reports to the local file system.
  • Sanitization: No explicit sanitization or validation of the content extracted from external documents is specified before it is used as arguments in shell commands or included in reports.
  • [COMMAND_EXECUTION]: The skill uses local shell commands to execute Python scripts for financial data verification and auditing. These scripts are part of the repository's toolset.
  • Evidence: Steps 2.3 and 8 use python3 tools/financial_rigor.py and python3 tools/report_audit.py to validate financial metrics and audit generated reports.
  • [EXTERNAL_DOWNLOADS]: The skill fetches financial data from several well-known technology and financial service providers.
  • Evidence: Step 1 describes fetching original materials from the SEC EDGAR (sec.gov), HKEX (hkexnews.hk), Seeking Alpha, and Yahoo Finance. These are established services and their use for financial analysis is standard.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 18, 2026, 07:17 AM
Security Audit — agent-trust-hub — earnings-review