ux-brand
Pass
Audited by Gen Agent Trust Hub on Oct 30, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes internal business artifacts and web search results to generate design system configurations and HTML documentation.\n
- Ingestion points: The agent reads empathy maps, personas, and other UX artifacts from the
biz/directory and fetches external data using theWebSearchandWebFetchtools as described inSKILL.md.\n - Capability inventory: The skill has the capability to write local files and execute shell commands to open them.\n
- Sanitization: There is no evidence of explicit content sanitization for data retrieved from web sources before it is used in the generation process.\n
- Boundary markers: As a mitigation, Step 8 in
SKILL.mdrequires a human-in-the-loop approval of the derived brand strategy before finalizing outputs.\n- [DATA_EXFILTRATION]: Internal business context is used to generate and execute external web search queries.\n - Evidence: Step 4 in
SKILL.mddescribes generating search queries based on archetype, tech-comfort, and industry data extracted from files in thebiz/directory.\n - Impact: This behavior transmits project-specific context and audience details to external search engine providers.\n- [COMMAND_EXECUTION]: The skill uses shell commands to display its outputs to the user.\n
- Evidence:
SKILL.mdspecifies usingxdg-openoropento preview the generatedbrand-sheet-{subject}.htmlfile.\n- [EXTERNAL_DOWNLOADS]: The skill fetches content from external websites for benchmarking and reference research.\n - Evidence: The skill uses
WebFetchto visit reference sites. A curated fallback list inscripts/benchmark-defaults.yamlincludes well-known technology and institutional services such as Stripe, GitHub, Vercel, and various French government portals.
Audit Metadata