Trust Assessment
cine-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.
The analysis covered 4 layers: llm_behavioral_safety, manifest_analysis, static_code_analysis, dependency_graph. 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 | |
|---|---|---|---|---|
| INFO | Unpinned Dependency The skill depends on 'cellcog' but does not specify a version. This means that future updates to 'cellcog' could introduce breaking changes or vulnerabilities without explicit review, potentially impacting the stability or security of this skill. It's best practice to pin dependencies to a specific version or version range. Specify a version or version range for the 'cellcog' dependency in the manifest (e.g., `"dependencies": ["cellcog==1.0.0"]` or `"dependencies": ["cellcog>=1.0.0,<2.0.0"]`). | Unknown | SKILL.md:1 |
Scan History
Embed Code
[](https://skillshield.io/report/1c0caf2621aabc83)
Powered by SkillShield