ai-stockflow-builder

Pass

Audited by Gen Agent Trust Hub on Jul 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements a robust mathematical expression parser in its pass1_template.html. This parser uses a recursive-descent approach to tokenize and evaluate user-provided equations, explicitly avoiding dangerous dynamic execution functions like eval() or new Function(). This demonstrates a strong security posture for handling user-defined logic.
  • [SAFE]: File operations are restricted to reading internal skill documentation and writing the final simulation to a user-specified path (model.html). No attempts were made to access sensitive system directories, hidden configuration files (e.g., .ssh, .aws), or environment variables.
  • [SAFE]: The skill's architecture relies on a multi-turn 'commissioning' process. It structures user input into a commissioning brief for a separate coding agent, maintaining a clear boundary between model design and infrastructure generation. This process includes mandatory validation steps (Readback and Extraction test) that provide human-in-the-loop oversight.
  • [SAFE]: External dependencies are limited to well-known technology services. The generated simulation deliverables load React and Recharts via esm.sh, a common and trusted CDN for modern web development. These references are documented neutrally and align with the skill's primary purpose.
  • [SAFE]: No obfuscation, prompt injection, or persistence mechanisms were found. The skill's instructions are transparent, and its behavior consistently matches its stated purpose of assisting with systems thinking simulations.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 17, 2026, 02:04 PM
Security Audit — agent-trust-hub — ai-stockflow-builder