Trust Assessment
video-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 skill 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 14, 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 skill dependency The skill manifest specifies a dependency on 'cellcog' without a version constraint. This can lead to unexpected behavior or security vulnerabilities if the 'cellcog' skill changes in incompatible or malicious ways. Pinning dependencies to specific versions or version ranges ensures reproducibility and reduces the risk of supply chain attacks. Specify a version constraint for the 'cellcog' dependency in the manifest, for example, `"dependencies": ["cellcog==1.0.0"]` or `"dependencies": ["cellcog>=1.0.0,<2.0.0"]`. | LLM | SKILL.md:2 |
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