Trust Assessment
tube-cog received a trust score of 93/100, 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: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 15, 2026 (commit b520750d). 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 skill's manifest specifies a dependency on 'cellcog' without a version constraint. This can lead to non-deterministic builds and potential security vulnerabilities if future versions of 'cellcog' introduce breaking changes or malicious code. It is best practice to pin dependencies to specific versions or ranges. Specify a precise version or a version range for the 'cellcog' dependency in the manifest, e.g., `"dependencies": ["cellcog==1.2.3"]` or `"dependencies": ["cellcog>=1.2.0,<2.0.0"]`. | Unknown | SKILL.md:3 |
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