Trust Assessment
nano-banana-image-gen received a trust score of 90/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 1 medium, and 1 low severity. Key findings include Missing required field: name, Unpinned Python dependency.
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
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | skills/sa9saq/nano-banana-image-gen/SKILL.md:1 | |
| LOW | Unpinned Python dependency The `google-genai` Python package is listed as a requirement without a specific version constraint. This can lead to unexpected behavior, security vulnerabilities, or breaking changes if a new version is released that is incompatible or malicious. It's best practice to pin dependencies to a specific version or range. Pin the `google-genai` dependency to a specific major or minor version (e.g., `google-genai==2.0.0` or `google-genai~=2.0`) in the skill's dependency declaration (e.g., `requirements.txt` or similar). | LLM | SKILL.md:20 |
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