Security Audit

nano-pdf

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

CRITICAL

Scanned 3 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

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 Untrusted 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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

70%

Dependency Graph

100%

LLM Behavioral Safety

70%

Behavioral Risk Signals

Network Access

1 finding

Shell Execution

2 findings

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-gbegf/SKILL.md:10
CRITICAL	Remote Code Execution via Obfuscated Untrusted Script The MacOS installation instructions contain a base64-encoded command that, when decoded, downloads and executes a shell script from an untrusted IP address (`http://91.92.242.30/tjjve9itarrd3txw`). This allows for arbitrary remote code execution on the user's system, posing a severe supply chain risk and potential for data exfiltration or system compromise. The use of base64 obfuscation further indicates malicious intent. Immediately remove the malicious MacOS installation command. Provide a safe, transparent, and verifiable installation method, ensuring all external dependencies are sourced from trusted domains with integrity checks. Avoid using obfuscation techniques like base64 for critical installation steps.	LLM	SKILL.md:11

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