Trust Assessment
data-cog received a trust score of 100/100, 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, 0 medium, and 0 low severity. Key findings include Unpinned dependency in 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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| INFO | 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 new, potentially malicious or incompatible version of 'cellcog' is released and automatically pulled. For a security rubric, this highlights a common risk pattern. Pin the 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 deterministic and secure builds. | LLM | SKILL.md:1 |
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