Trust Assessment
fin-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 on 'cellcog' without pinning it to a specific version. This can introduce supply chain risks, as updates to the 'cellcog' package could introduce breaking changes, vulnerabilities, or malicious code without explicit review, potentially affecting the security and stability of this skill. Pin the 'cellcog' dependency to a specific version (e.g., 'cellcog==1.2.3') or a version range (e.g., 'cellcog>=1.0.0,<2.0.0') to ensure consistent and secure behavior. Regularly review and update pinned dependencies. | Static | Manifest (frontmatter JSON):1 |
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