Trust Assessment
learn-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.
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 The skill's manifest specifies a dependency (`cellcog`) without a version constraint. This can lead to non-deterministic builds and potential security vulnerabilities if a future version of the dependency introduces breaking changes or malicious code. An attacker could potentially publish a malicious version of `cellcog` that would be automatically installed if the dependency is not pinned. Pin the dependency to a specific version or a version range (e.g., `"cellcog==1.0.0"` or `"cellcog>=1.0.0,<2.0.0"`) to ensure consistent and secure installations. | Static | Manifest |
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