Trust Assessment
tube-cog received a trust score of 97/100, 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, 0 medium, and 1 low severity. Key findings include Unpinned dependency 'cellcog'.
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 | |
|---|---|---|---|---|
| LOW | Unpinned dependency 'cellcog' The skill manifest specifies 'cellcog' as a dependency without a version constraint. This means that any future updates to 'cellcog', including breaking changes or the introduction of vulnerabilities, could automatically affect this skill without explicit review, leading to unpredictable behavior or potential security risks. It's a best practice to pin dependencies to specific versions or at least a major version range. Specify a precise version for the 'cellcog' dependency (e.g., `"dependencies": ["cellcog==1.2.3"]`) or at least a minimum version (e.g., `"dependencies": ["cellcog>=1.2.3"]`) in the skill's manifest to ensure stability and allow for controlled updates. | LLM | SKILL.md:1 |
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