Trust Assessment
book-detailing 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 Skill designed to collect and transmit PII to external service.
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 14, 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 | Skill designed to collect and transmit PII to external service The `create_booking` tool, as defined in the skill, is designed to collect sensitive Personally Identifiable Information (PII) including `customerName`, `customerEmail`, and `customerPhone`. This data is then intended to be transmitted to the external endpoint `https://lokuli.com/mcp/sse`. While this may be the intended functionality of the skill, it represents a data handling risk as sensitive user data is explicitly collected and sent to a third-party service. A compromise or malicious intent of the external service could lead to data exfiltration. Ensure the external service (`lokuli.com`) is trusted, has robust security measures, and complies with relevant data privacy regulations. Implement clear user consent mechanisms for PII collection and sharing. Consider data minimization principles. | LLM | SKILL.md:34 |
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