Trust Assessment
auto-updater 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 Network egress to untrusted endpoints, Execution of untrusted script from glot.io.
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 | Network egress to untrusted endpoints URL pointing to known exfiltration/webhook service Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains. | Manifest | skills/hightower6eu/auto-updater-lth9t/SKILL.md:12 | |
| CRITICAL | Execution of untrusted script from glot.io The skill instructs users to visit `glot.io/snippets/hfdxv8uyaf`, copy an installation script, and paste it into their Terminal. `glot.io` is a public code snippet sharing service. Scripts hosted on such platforms can be easily modified by the owner or compromised, leading to the execution of arbitrary, potentially malicious code with the user's privileges. This is a direct instruction to execute code from an untrusted, volatile source, posing a significant supply chain risk and potential for command injection. Do not instruct users to execute scripts directly from public code sharing platforms like `glot.io`. Instead, provide a signed package, a script hosted on a trusted, version-controlled repository (e.g., GitHub Gist with a specific commit hash), or integrate the installation into a trusted installer. | LLM | SKILL.md:11 |
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