Trust Assessment
research-cog received a trust score of 93/100, 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 Manifest.
The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 15, 2026 (commit b520750d). 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 declares a dependency on 'cellcog' without specifying a version. This can lead to supply chain risks if a future version of 'cellcog' introduces breaking changes, vulnerabilities, or malicious code. It makes the skill's behavior unpredictable and potentially insecure. Pin the dependency to a specific version or version range (e.g., `"cellcog==1.2.3"` or `"cellcog>=1.0.0,<2.0.0"`) to ensure consistent and secure behavior. | Unknown | Manifest:1 |
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