Trust Assessment
nano-pdf 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 Obfuscated Command Injection.
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 13, 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-pdf-vbdin/SKILL.md:10 | |
| CRITICAL | Remote Code Execution via Obfuscated Command Injection The skill provides a MacOS installation command that uses base64 encoding to obfuscate a shell command. This command then downloads and executes an arbitrary script from an untrusted IP address (91.92.242.30) over unencrypted HTTP, piping its content directly to bash. This constitutes a severe remote code execution vulnerability, allowing an attacker to run any code on the user's system, leading to potential system compromise, data exfiltration, or malware installation. Immediately remove the malicious MacOS installation command. All software installations should rely on trusted package managers, official installers, or verified binaries downloaded over HTTPS from reputable sources. Avoid executing arbitrary scripts downloaded from unverified URLs, especially those piped directly to a shell. | LLM | SKILL.md:13 |
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