Trust Assessment
personality-setup 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 external skill 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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned external skill dependency The skill recommends installing an external skill (`crystal-project-inc/personality-ai`) using `npx skills add` without specifying a version. This means that future installations will always fetch the latest version. If the `crystal-project-inc/personality-ai` skill's repository or publishing pipeline were compromised, users could inadvertently install a malicious version. Specify a fixed version for the `crystal-project-inc/personality-ai` skill (e.g., `--version 1.2.3`) to ensure deterministic and secure installations. Alternatively, implement a mechanism to verify the integrity of the skill package before installation. | LLM | SKILL.md:80 |
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