Trust Assessment
emily-radix-assistant received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned dependency in manifest.
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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependency in manifest The `mcporter` CLI tool is specified as a dependency in the skill's manifest without a version constraint. This allows the installation of the latest version, which could potentially introduce breaking changes or malicious code if the package maintainer's repository is compromised. It's best practice to pin dependencies to specific versions to ensure supply chain security and reproducibility. Pin the `mcporter` dependency to a specific, known-good version (e.g., `"package": "mcporter@1.2.3"`) in the manifest's `install` section to ensure consistent and secure installations. | LLM | SKILL.md:1 |
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