Trust Assessment
spacemolt received a trust score of 86/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Unpinned Dependency in Skill Installation.
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 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Unpinned Dependency in Skill Installation The skill's installation instructions and manifest specify the 'mcp-remote' package without a version constraint. This means 'npx -y mcp-remote' will always install the latest available version. If a malicious update to 'mcp-remote' is published, it could lead to arbitrary code execution on the host system when the skill is installed or updated. Pin the version of the 'mcp-remote' package in both the skill's manifest and the installation instructions (e.g., 'npx -y mcp-remote@1.2.3'). Regularly review and update the pinned version to benefit from security patches and new features. | LLM | SKILL.md:30 |
Scan History
Embed Code
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