Trust Assessment
aryn-automation 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 Rube MCP dependency.
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 17, 2026 (commit 99e2a295). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Rube MCP dependency The skill manifest specifies a dependency on the 'rube' MCP without a version constraint. This could lead to the skill using an incompatible or potentially malicious version of Rube MCP if one were to be published, introducing a supply chain risk. Pin the Rube MCP dependency to a specific version (e.g., `{"mcp": ["rube@1.0.0"]}`) or a version range (e.g., `{"mcp": ["rube@^1.0.0"]}`) to ensure stability and mitigate supply chain risks. | LLM | SKILL.md |
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