Trust Assessment
docs-cog received a trust score of 86/100, 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, 1 high, 0 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 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 | |
|---|---|---|---|---|
| HIGH | Unpinned dependency in manifest The skill's manifest specifies a dependency 'cellcog' without a version constraint. This allows for automatic updates to potentially malicious or incompatible versions, introducing supply chain risks if a compromised version of 'cellcog' is published. Pin the dependency 'cellcog' to a specific version or a version range (e.g., "cellcog==1.2.3" or "cellcog>=1.0,<2.0") to ensure deterministic and secure dependency resolution. | LLM | SKILL.md:2 |
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