Trust Assessment
contextui received a trust score of 94/100, 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 Python package dependencies in ServerLauncher example.
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 | |
|---|---|---|---|---|
| MEDIUM | Unpinned Python package dependencies in ServerLauncher example The skill describes the 'ServerLauncher Pattern (REQUIRED)' for Python backends and provides an example `packages` list without specific version pinning (e.g., `['fastapi', 'uvicorn[standard]', 'torch', 'llama-cpp-python']`). Following this pattern without pinning versions can lead to non-deterministic builds, introduce unexpected breaking changes, or allow malicious package updates to be pulled into a workflow, posing a supply chain risk. Advise users to pin package versions (e.g., `fastapi==0.100.0`, `uvicorn[standard]==0.20.0`) in their `ServerLauncher` configurations to ensure deterministic and secure builds, mitigating supply chain risks. | LLM | SKILL.md:220 |
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