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 likeeval()ornew 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