Trust Assessment
book-it-support 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 handles Personally Identifiable Information (PII).
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 | Skill handles Personally Identifiable Information (PII) The `create_booking` tool is designed to collect and transmit sensitive Personally Identifiable Information (PII), specifically `customerName`, `customerEmail`, and `customerPhone`. While necessary for the booking functionality, this exposes user data to potential risks if the underlying service (`https://lokuli.com/mcp/sse`) or its data handling practices are compromised or insecure. The skill acts as a conduit for this sensitive data. Implement robust data privacy and security measures for handling PII. Ensure compliance with relevant data protection regulations (e.g., GDPR, CCPA). Clearly inform users about data collection and usage. Validate the security of the `lokuli.com` endpoint and its data handling practices, including data at rest and in transit. Consider anonymization or pseudonymization where possible. | LLM | SKILL.md:33 |
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