Trust Assessment
proto-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: manifest_analysis, static_code_analysis, dependency_graph, llm_behavioral_safety. 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 ('cellcog') without specifying a version. This allows the skill to pull the latest version of the dependency, which could introduce breaking changes, vulnerabilities, or even malicious code if the dependency maintainer's repository is compromised or a typosquatting attack occurs. It's best practice to pin dependencies to specific versions or at least major versions to ensure stability and security. Pin the 'cellcog' dependency to a specific version or a major version range in the manifest. For example, `"dependencies": ["cellcog==1.2.3"]` or `"dependencies": ["cellcog>=1.0.0,<2.0.0"]`. | Unknown | SKILL.md:1 |
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