Trust Assessment
research-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, 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 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 | |
|---|---|---|---|---|
| HIGH | Unpinned dependency in manifest The skill's manifest specifies a dependency 'cellcog' without a version constraint. This means that any future version of 'cellcog', including potentially malicious or breaking changes, could be automatically installed and used by this skill. This creates a supply chain risk where a compromised or buggy update to the dependency could directly impact the security and stability of this skill. Pin the 'cellcog' dependency to a specific version or a well-defined version range (e.g., `"cellcog==1.2.3"` or `"cellcog>=1.0.0,<2.0.0"`) in the manifest to ensure predictable and secure dependency resolution. | Static | SKILL.md |
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