Trust Assessment
video-cog received a trust score of 85/100, 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, 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 20, 2026 (commit 89ffa28e). 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 pin. This could lead to unexpected behavior or security vulnerabilities if a future version of 'cellcog' introduces breaking changes or malicious code. It also makes the build non-deterministic. Pin the dependency to a specific version or version range (e.g., `"cellcog==1.2.3"` or `"cellcog>=1.0.0,<2.0.0"`) to ensure deterministic builds and prevent unexpected updates. | Static | Manifest |
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