Trust Assessment
brand-cog received a trust score of 94/100, 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, 1 medium, and 0 low severity. Key findings include Unpinned dependency identified.
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 | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependency identified The skill manifest declares a dependency on 'cellcog' without specifying a version. This allows for automatic updates to the latest version, which could introduce breaking changes, vulnerabilities, or malicious code if the 'cellcog' skill is compromised or updated with harmful content. It also makes the build non-deterministic. Pin the 'cellcog' dependency to a specific version (e.g., `"cellcog==1.2.3"`) in the manifest to ensure consistent and secure behavior. Regularly review and update pinned dependencies. | LLM | SKILL.md:1 |
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