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 logoutput,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 --onelineto identify frequently changed files and hotspots. - Report Viewing: Automatically opens the generated HTML report using
xdg-open(Linux),open(macOS), orstart(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.comfor styling andcdn.jsdelivr.netfor the Mermaid diagramming library.
Audit Metadata