Trust Assessment
nanobanana-pro-fallback received a trust score of 97/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 0 medium, and 1 low severity. Key findings include Transmission of user-specified local files to third-party API.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| LOW | Transmission of user-specified local files to third-party API The skill reads local image files specified by the user via the `--input-image` argument and transmits their contents to the Google Gemini API for processing. While this is the core functionality for image editing, it means that any sensitive image file provided by the user will be sent to a third-party service. Users should be aware of this data transfer when providing local file paths. Add a clear warning in the skill's documentation (e.g., `SKILL.md`) that input images are uploaded to Google's servers for processing. Advise users against providing sensitive or confidential image files. | LLM | scripts/generate_image.py:90 |
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