Security Audit
zenserp-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
zenserp-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 Broad tool execution 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 | |
|---|---|---|---|---|
| HIGH | Broad tool execution via RUBE_REMOTE_WORKBENCH The skill instructs the use of `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`, described as enabling 'Bulk ops' and executing 'Composio tools'. This implies the ability to execute arbitrary tools within the Composio ecosystem, not just those related to Zenserp. If the underlying Composio tools have broad permissions (e.g., filesystem access, arbitrary network requests, or access to other sensitive APIs), this skill could inherit and leverage those excessive permissions, leading to potential data exfiltration, unauthorized actions, or system compromise. The scope of `run_composio_tool()` is not explicitly restricted to Zenserp operations. Restrict the capabilities of `RUBE_REMOTE_WORKBENCH` to only Zenserp-specific operations or provide a clear, limited scope for `run_composio_tool()`. Alternatively, ensure that the Composio tools accessible via `run_composio_tool()` are sandboxed and have minimal necessary permissions. If `RUBE_REMOTE_WORKBENCH` is intended for a specific, limited set of operations, this should be explicitly stated and enforced. | LLM | SKILL.md:78 |
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