Security Audit
venly-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
venly-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 `RUBE_REMOTE_WORKBENCH` suggests broad, potentially unconstrained execution capabilities.
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 | `RUBE_REMOTE_WORKBENCH` suggests broad, potentially unconstrained execution capabilities The skill documentation lists `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` as an approach for 'Bulk ops'. The term 'workbench' typically implies a flexible, general-purpose execution environment, and 'bulk operations' suggests a wide scope of actions. Without a clear schema or explicit limitations provided in the documentation, an LLM might interpret this as an ability to execute complex or arbitrary operations, potentially leading to excessive permissions being granted or exploited. This could allow for actions beyond the intended scope of individual, schema-validated tool calls, posing a risk of unauthorized data manipulation or system access. Provide a detailed schema for `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()` that clearly defines and limits its capabilities. Ensure that any underlying execution environment for this tool is strictly sandboxed and operates with the principle of least privilege. Explicitly state any limitations on the types of operations or code that can be executed. | LLM | SKILL.md:74 |
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