Trust Assessment
data-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 constraint. This means that if a malicious or vulnerable version of 'cellcog' were published, users installing this skill could inadvertently receive it, leading to a supply chain attack. It is best practice to pin dependencies to specific versions or at least major versions to ensure stability and security. Pin the 'cellcog' dependency to a specific version or a version range (e.g., `"cellcog==1.0.0"` or `"cellcog>=1.0.0,<2.0.0"`) in the skill's manifest to mitigate supply chain risks. | LLM | SKILL.md:5 |
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