Security Audit
Eventbrite Automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
Eventbrite Automation received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Reliance on unverified external MCP server.
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 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Reliance on unverified external MCP server The skill explicitly declares a dependency on an external Multi-Cloud Platform (MCP) server named 'rube' in its manifest and instructs users to add `https://rube.app/mcp`. This introduces a significant supply chain risk. If `rube.app` is compromised or malicious, it could intercept API calls, exfiltrate sensitive Eventbrite data, or potentially execute arbitrary code within the user's environment. The security of the entire skill chain depends on the trustworthiness and integrity of this external service. Verify the trustworthiness and security practices of `rube.app` and Composio. Consider if the MCP can be self-hosted or if a more transparent and auditable integration method is available. Implement strict network policies to limit the MCP's access. Ensure that the MCP's code is regularly audited for vulnerabilities. | LLM | SKILL.md:1 |
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