dcf-model

Pass

Audited by Gen Agent Trust Hub on May 4, 2026

Risk Level: SAFE
Full Analysis
  • Data Sourcing and Network Operations: The skill retrieves financial data from various sources, including MCP servers and web searches. These operations are essential for the skill's primary function of equity valuation.
  • Automated Validation and Recalculation: The workflow includes the execution of Python scripts (validate_dcf.py and recalc.py) to verify the accuracy of the generated Excel models. This is a standard quality control practice for complex financial modeling tasks.
  • Untrusted Data Handling: The skill processes external information such as SEC filings and analyst reports. Although this introduces a surface for indirect prompt injection, the skill incorporates explicit user verification steps for raw inputs and assumptions to mitigate potential risks.
Audit Metadata
Risk Level
SAFE
Analyzed
May 4, 2026, 09:17 PM