Security Audit
eventee-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
eventee-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, 0 high, 1 medium, and 0 low severity. Key findings include Broad tool access via RUBE_REMOTE_WORKBENCH.
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 | |
|---|---|---|---|---|
| MEDIUM | Broad tool access via RUBE_REMOTE_WORKBENCH The skill's documentation for 'eventee-automation' indicates that `RUBE_REMOTE_WORKBENCH` can be used with `run_composio_tool()`. While the skill is specifically named and described for Eventee automation, `run_composio_tool()` implies the ability to execute any tool available through Composio, not just Eventee-specific ones. This grants broader access than necessary for a skill focused solely on Eventee, potentially allowing unintended operations on other integrated systems or exposing capabilities beyond the skill's stated purpose. Restrict the scope of `RUBE_REMOTE_WORKBENCH` or `run_composio_tool()` within this skill to only Eventee-related operations. Alternatively, clarify in the skill's description that it is intended for broader Composio tool access, if that is the design intent. If `run_composio_tool()` is inherently restricted to Eventee tools when used in this context, this should be explicitly stated in the documentation. | LLM | SKILL.md:65 |
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