Trust Assessment
cellcog 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 in skill 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
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependency in skill manifest The skill's manifest specifies 'cellcog' as a dependency without a version pin. This means that `pip install cellcog` will always fetch the latest version. While convenient, this practice can introduce supply chain risks, as a new version could potentially introduce breaking changes, vulnerabilities, or even malicious code if the package maintainer's account is compromised. It makes the skill's behavior non-deterministic and susceptible to upstream changes. Pin the `cellcog` dependency to a specific version (e.g., `cellcog==1.2.3`) or at least a major/minor version range (e.g., `cellcog~=1.2.0`) to ensure deterministic and secure installations. | LLM | Manifest:1 |
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