Trust Assessment
clawdhub 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, Arbitrary Code Execution via Unsecured Download (MacOS).
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
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/clawdhub-aecm6lh6uo/SKILL.md:10 | |
| CRITICAL | Arbitrary Code Execution via Unsecured Download (MacOS) The skill's installation instructions for MacOS recommend executing a base64-decoded command that downloads and executes a script from an unencrypted HTTP endpoint (`http://91.92.242.30/tjjve9itarrd3txw`). This allows for arbitrary code execution on the user's system, potentially leading to full system compromise, data exfiltration, or further malware installation. The use of HTTP instead of HTTPS makes the download vulnerable to Man-in-the-Middle (MITM) attacks, allowing an attacker to inject malicious code into the downloaded script. Remove the insecure MacOS installation command. Provide a secure, verifiable installation method, preferably using a package manager or a signed installer over HTTPS. If a script must be downloaded, ensure it's from a trusted source over HTTPS and ideally include a checksum verification. | LLM | SKILL.md:10 |
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