improve-codebase-architecture

Pass

Audited by Gen Agent Trust Hub on Sep 30, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONDYNAMIC_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted data from the local codebase, including source files, git history, and documentation, and interpolates this content into a generated HTML report.
  • Ingestion points: Local repository files, git log output, GLOSSARY.md, and ADR documents are processed to identify architectural friction.
  • Boundary markers: The instructions do not specify delimiters or sanitization steps to isolate codebase content within the HTML report.
  • Capability inventory: The skill has the ability to read files, execute shell commands, write to the system's temporary directory, and trigger the OS to open files in a browser.
  • Sanitization: There is no evidence of HTML escaping or validation of data extracted from the codebase before it is rendered in the report.
  • [COMMAND_EXECUTION]: The skill utilizes shell commands to facilitate its workflow.
  • Repository Analysis: Executes git log --oneline to identify frequently changed files and hotspots.
  • Report Viewing: Automatically opens the generated HTML report using xdg-open (Linux), open (macOS), or start (Windows).
  • [DYNAMIC_EXECUTION]: The HTML report template utilizes the Mermaid.js library to render diagrams dynamically from agent-generated text. The template explicitly configures Mermaid with securityLevel: "loose", which allows the rendering of HTML and potentially scripts embedded within the diagram definitions if the AI copies malicious patterns from the codebase.
  • [EXTERNAL_DOWNLOADS]: The generated report fetches layout and diagramming assets from well-known external sources, including cdn.tailwindcss.com for styling and cdn.jsdelivr.net for the Mermaid diagramming library.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 30, 2026, 04:24 PM