improve-codebase-architecture
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSDYNAMIC_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill analyzes external content from the project's codebase, including commit history and source files, to generate reports. This creates a surface where malicious instructions embedded in the codebase could attempt to influence the agent's behavior.
- Ingestion points: Reads
git logoutput, source code files,GLOSSARY.md, and files withindocs/adr/(SKILL.md). - Boundary markers: Absent. The skill does not define specific delimiters or instructions to ignore embedded commands within the ingested codebase data.
- Capability inventory: Spawns sub-agents for exploration, writes HTML files to system temporary directories, executes system commands to open files (
open,start,xdg-open), modifiesGLOSSARY.md, and creates new ADR documentation files. - Sanitization: Absent. There is no evidence of filtering or escaping logic for data extracted from the codebase before it is included in prompts or the generated HTML report.
- [COMMAND_EXECUTION]: The skill executes shell commands to inspect the repository history and to open the generated report in the user's default browser.
- Evidence: Executes
git log --onelineto find codebase hot spots and uses platform-specific commands (xdg-open,open,start) to display the HTML report (SKILL.md). - [EXTERNAL_DOWNLOADS]: The generated HTML report incorporates external resources from well-known content delivery networks.
- Evidence: The HTML scaffold in
HTML-REPORT.mdfetches the Tailwind CSS library fromcdn.tailwindcss.comand the Mermaid diagramming library fromcdn.jsdelivr.net. - [DYNAMIC_EXECUTION]: The generated report configures the Mermaid library with a relaxed security posture, which could be exploited if malicious content is injected into the diagram definitions.
- Evidence: The initialization script in
HTML-REPORT.mdsetssecurityLevel: "loose". This allows HTML tags within Mermaid diagrams, potentially enabling cross-site scripting (XSS) if the AI includes unsanitized strings from the codebase (such as malicious file names or comments) in the diagram output.
Audit Metadata